Cannot create Iceberg Table in Azure Blob Storage

### Feature Request / Improvement

Hi
I am unable to create iceberg table in Azure blob storage using pyiceberg. I am getting the following error:

> pyiceberg.exceptions.BadRequestError: IlleagalArgumentException: Location for ICEBERG_TABLE ''test.table' cannot be associated with any configured object storage location: Mandatory ADLS endpoint is not configured for storage account container@account.dfs.core.windows.net.

But I don't have any issues when creating tables using Pyspark.

Code:

```
catalog = load_catalog(name="nessie",
uri="http://10.xx.xx.xx:19120/iceberg",
properties={
"ref"="main",
"type"="rest",
"warehouse": f"wasbs://container@account.blob.core.windows.net/warehouse",
"io-impl": "pyiceberg.io.fsspec.FsspecFileIO",
"azure.account-name": account
"azure.account-key": key

table = catalog.create_table(identifier="test.table",
schema=schema,
location=f"wasbs://container@account.blob.core.windows.net/warehouse/test/table")
```

Could you please resolve this issue

Start at the load_catalog configuration and the FsspecFileIO path used by catalog.create_table, then trace how the wasbs warehouse and table locations are handled for Azure Blob Storage. Reproduce the minimal example and compare the configured storage endpoint with the error; done means the Iceberg table is created successfully in the specified Azure location.

Written by the indexing model from the issue text.