```sql
WITH AvgPrice AS (
    SELECT AVG(unitprice) AS avg_price
    FROM products
),
SupplierOrders AS (
    SELECT s.supplierid, s.companyname, o.orderid, o.orderdate, od.productid, od.quantity, od.unitprice, o.shipregion, o.shipcountry
    FROM suppliers s
    JOIN products p ON s.supplierid = p.supplierid
    JOIN order_details od ON p.productid = od.productid
    JOIN orders o ON od.orderid = o.orderid
),
CityOrderCount AS (
    SELECT supplierid, shipcity, COUNT(*) AS order_count
    FROM SupplierOrders
    GROUP BY supplierid, shipcity
),
MaxCityOrder AS (
    SELECT supplierid, shipcity
    FROM (
        SELECT supplierid, shipcity, order_count,
               ROW_NUMBER() OVER (PARTITION BY supplierid ORDER BY order_count DESC) AS rn
        FROM CityOrderCount
    ) WHERE rn = 1
),
OldestOrder AS (
    SELECT supplierid, orderid, orderdate
    FROM (
        SELECT supplierid, orderid, orderdate,
               ROW_NUMBER() OVER (PARTITION BY supplierid ORDER BY orderdate) AS rn
        FROM SupplierOrders
    ) WHERE rn = 1
),
HighPriceProducts AS (
    SELECT DISTINCT s.supplierid, p.productname
    FROM suppliers s
    JOIN products p ON s.supplierid = p.supplierid
    CROSS JOIN AvgPrice
    WHERE p.unitprice > AvgPrice.avg_price
),
DistinctRegions AS (
    SELECT supplierid, COUNT(DISTINCT shipregion) AS region_count
    FROM SupplierOrders
    GROUP BY supplierid
),
CategorySales AS (
    SELECT c.categoryid, c.categoryname, od.productid, SUM(od.quantity * od.unitprice) AS total_sales
    FROM categories c
    JOIN products p ON c.categoryid = p.categoryid
    JOIN order_details od ON p.productid = od.productid
    JOIN orders o ON od.orderid = o.orderid
    GROUP BY c.categoryid, c.categoryname, od.productid
),
TopCategory AS (
    SELECT categoryid, categoryname
    FROM (
        SELECT categoryid, categoryname,
               ROW_NUMBER() OVER (ORDER BY total_sales DESC) AS rn
        FROM CategorySales
    ) WHERE rn = 1
),
TopProductInCategory AS (
    SELECT cs.categoryid, cs.productid, p.productname
    FROM CategorySales cs
    JOIN products p ON cs.productid = p.productid
    JOIN TopCategory tc ON cs.categoryid = tc.categoryid
    WHERE cs.total_sales = (
        SELECT MAX(total_sales)
        FROM CategorySales
        WHERE categoryid = tc.categoryid
    )
)
SELECT s.supplierid, s.companyname,
       mco.shipcity AS city_with_most_orders,
       oo.orderid AS oldest_order_id, oo.orderdate AS oldest_order_date,
       LISTAGG(hpp.productname, ', ') WITHIN GROUP (ORDER BY hpp.productname) AS high_price_products,
       CASE WHEN dr.region_count >= 10 THEN 'Da' ELSE 'Nu' END AS delivered_to_10_regions,
       tc.categoryname AS top_category_name, tp.productname AS top_product_in_category
FROM suppliers s
LEFT JOIN MaxCityOrder mco ON s.supplierid = mco.supplierid
LEFT JOIN OldestOrder oo ON s.supplierid = oo.supplierid
LEFT JOIN HighPriceProducts hpp ON s.supplierid = hpp.supplierid
LEFT JOIN DistinctRegions dr ON s.supplierid = dr.supplierid
LEFT JOIN TopCategory tc ON 1 = 1
LEFT JOIN TopProductInCategory tp ON tc.categoryid = tp.categoryid
GROUP BY s.supplierid, s.companyname, mco.shipcity, oo.orderid, oo.orderdate, dr.region_count, tc.categoryname, tp.productname;
```