### 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)

"""Asserts that exception is raised with correct expected exception message"""
        operator = BigQueryGetDataOperator(
            task_id="get_data_from_bq",
            dataset_id=TEST_DATASET,
            table_id="any",
            job_project_id=TEST_JOB_PROJECT_ID,
            max_results=100,
            deferrable=True,
            as_dict=as_dict,
            use_legacy_sql=False,
        )
        with mock.patch.object(operator.log, "info") as mock_log_info:
            operator.execute_complete(context=None, event={"status": "success", "records": [20]})
        mock_log_info.assert_called_with("Total extracted rows: %s", 1)
class TestBigQueryTableDeleteOperator:
    @mock.patch("airflow.providers.google.cloud.operators.bigquery.BigQueryHook")
    def test_execute(self, mock_hook):
        ignore_if_missing = True
        deletion_dataset_table = f"{TEST_DATASET}.{TEST_TABLE_ID}"
        operator = BigQueryDeleteTableOperator(
            task_id=TASK_ID,
            deletion_dataset_table=deletion_dataset_table,
            ignore_if_missing=ignore_if_missing,
        )
        operator.execute(None)
        mock_hook.return_value.delete_table.assert_called_once_with(
            table_id=deletion_dataset_table, not_found_ok=ignore_if_missing
        )
class TestBigQueryGetDatasetTablesOperator: