### 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)

AirflowProviderDeprecationWarning,
                stacklevel=2,
            )
            gcp_conn_id = bigquery_conn_id
        super().__init__(**kwargs)
        self.project_id = project_id
        self.dataset_id = dataset_id
        self.table_id = table_id
        self.schema_fields = schema_fields
        self.gcs_schema_object = gcs_schema_object
        self.gcp_conn_id = gcp_conn_id
        self.google_cloud_storage_conn_id = google_cloud_storage_conn_id
        self.time_partitioning = {} if time_partitioning is None else time_partitioning
        self.labels = labels
        self.view = view
        self.materialized_view = materialized_view
        self.encryption_configuration = encryption_configuration
        self.location = location
        self.cluster_fields = cluster_fields
        self.table_resource = table_resource
        self.impersonation_chain = impersonation_chain
        if exists_ok is not None:
            warnings.warn(
                "`exists_ok` parameter is deprecated, please use `if_exists`",
                AirflowProviderDeprecationWarning,
            )
            self.if_exists = IfExistAction.IGNORE if exists_ok else IfExistAction.LOG
        else:
            self.if_exists = IfExistAction(if_exists)
    def execute(self, context: Context) -> None: