### 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)

"""Return operator extra links."""
        if isinstance(self.sql, str):
            return (BigQueryConsoleLink(),)
        return (BigQueryConsoleIndexableLink(i) for i, _ in enumerate(self.sql))
    def __init__(
        self,
        *,
        sql: str | Iterable[str],
        destination_dataset_table: str | None = None,
        write_disposition: str = "WRITE_EMPTY",
        allow_large_results: bool = False,
        flatten_results: bool | None = None,
        gcp_conn_id: str = "google_cloud_default",
        udf_config: list | None = None,
        use_legacy_sql: bool = True,
        maximum_billing_tier: int | None = None,
        maximum_bytes_billed: float | None = None,
        create_disposition: str = "CREATE_IF_NEEDED",
        schema_update_options: list | tuple | set | None = None,
        query_params: list | None = None,
        labels: dict | None = None,
        priority: str = "INTERACTIVE",
        time_partitioning: dict | None = None,
        api_resource_configs: dict | None = None,
        cluster_fields: list[str] | None = None,
        location: str | None = None,
        encryption_configuration: dict | None = None,
        impersonation_chain: str | Sequence[str] | None = None,
        **kwargs,
    ) -> None: