### Apache Airflow version

Other Airflow 2 version (please specify below)

### What happened

Airflow version: 2.5.3
Description: While using BigQueryCreateExternalTableOperator, when we to create external table on top of parquet files located in GCS, airflow shows below error:
google.api_core.exceptions.BadRequest: 400 POST ... failed. CsvOptions can only be specified if storage format is CSV.

No csvOptions are mentioned while passing the source_format as Parquet. There seems to be an issue with bigquery.py hook.

### What you think should happen instead

_No response_

### How to reproduce

While using BigQueryCreateExternalTableOperator, try to create external table on top of parquet files located in GCS. Sample usage:
`create_external_table = BigQueryCreateExternalTableOperator(
    task_id="create_external_table",
    destination_project_dataset_table="table_name",
    bucket=GCS_BUCKET_NAME,
    source_objects=[<list of URIs of parquet files>],
    source_format="PARQUET",
    autodetect=True,
    gcp_conn_id="gcp_conn_id",
    google_cloud_storage_conn_id="test_conn_id",
)`

### Operating System

-

### Versions of Apache Airflow Providers

_No response_

### Deployment

Official Apache Airflow Helm Chart

### Deployment details

_No response_

### Anything else

_No response_

### Are you willing to submit PR?

- [ ] Yes I am willing to submit a PR!

### Code of Conduct

- [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)

operator = BigQueryCreateExternalTableOperator(
            task_id=TASK_ID,
            destination_project_dataset_table=f"{TEST_GCP_PROJECT_ID}.{TEST_DATASET}.{TEST_TABLE_ID}",
            schema_fields=[],
            bucket=TEST_GCS_BUCKET,
            gcs_schema_bucket=TEST_GCS_BUCKET,
            source_objects=TEST_GCS_DATA,
            source_format=TEST_SOURCE_FORMAT,
            autodetect=True,
        )
        mock_hook.return_value.split_tablename.return_value = (
            TEST_GCP_PROJECT_ID,
            TEST_DATASET,
            TEST_TABLE_ID,
        )
        operator.execute(context=MagicMock())
        mock_hook.return_value.create_empty_table.assert_called_once_with(
            table_resource={
                "tableReference": {
                    "projectId": TEST_GCP_PROJECT_ID,
                    "datasetId": TEST_DATASET,
                    "tableId": TEST_TABLE_ID,
                },
                "labels": None,
                "schema": {"fields": []},
                "externalDataConfiguration": {
                    "source_uris": [
                        f"gs://{TEST_GCS_BUCKET}/{source_object}" for source_object in TEST_GCS_DATA
                    ],