### 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)

self._handle_job_error(job)
            else:
                
                raise AirflowException(
                    f"Job with id: {self.job_id} already exists and is in {job.state} state. If you "
                    f"want to force rerun it consider setting `force_rerun=True`."
                    f"Or, if you want to reattach in this scenario add {job.state} to `reattach_states`"
                )
        job_types = {
            LoadJob._JOB_TYPE: ["sourceTable", "destinationTable"],
            CopyJob._JOB_TYPE: ["sourceTable", "destinationTable"],
            ExtractJob._JOB_TYPE: ["sourceTable"],
            QueryJob._JOB_TYPE: ["destinationTable"],
        }
        project_id = self.project_id or hook.project_id
        if project_id:
            for job_type, tables_prop in job_types.items():
                job_configuration = job.to_api_repr()["configuration"]
                if job_type in job_configuration:
                    for table_prop in tables_prop:
                        if table_prop in job_configuration[job_type]:
                            table = job_configuration[job_type][table_prop]
                            persist_kwargs = {
                                "context": context,
                                "task_instance": self,
                                "project_id": project_id,
                                "table_id": table,
                            }
                            if not isinstance(table, str):
                                persist_kwargs["table_id"] = table["tableId"]