### 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)

@mock.patch("airflow.providers.google.cloud.operators.bigquery.BigQueryHook")
    def test_execute(self, mock_hook):
        dataset_resource = {"friendlyName": "Test DS"}
        operator = BigQueryUpdateDatasetOperator(
            dataset_resource=dataset_resource,
            task_id=TASK_ID,
            dataset_id=TEST_DATASET,
            project_id=TEST_GCP_PROJECT_ID,
        )
        operator.execute(context=MagicMock())
        mock_hook.return_value.update_dataset.assert_called_once_with(
            dataset_resource=dataset_resource,
            dataset_id=TEST_DATASET,
            project_id=TEST_GCP_PROJECT_ID,
            fields=list(dataset_resource.keys()),
        )
class TestBigQueryOperator:
    def teardown_method(self):
        clear_db_xcom()
        clear_db_runs()
        clear_db_serialized_dags()
        clear_db_dags()
    @mock.patch("airflow.providers.google.cloud.operators.bigquery.BigQueryHook")
    def test_execute(self, mock_hook):