### 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)

if job.error_result:
            raise AirflowException(f"BigQuery job {job.job_id} failed: {job.error_result}")
    def execute(self, context: Any):
        hook = BigQueryHook(
            gcp_conn_id=self.gcp_conn_id,
            impersonation_chain=self.impersonation_chain,
        )
        self.hook = hook
        self.job_id = hook.generate_job_id(
            job_id=self.job_id,
            dag_id=self.dag_id,
            task_id=self.task_id,
            logical_date=context["logical_date"],
            configuration=self.configuration,
            force_rerun=self.force_rerun,
        )
        try:
            self.log.info("Executing: %s'", self.configuration)
            job: BigQueryJob | UnknownJob = self._submit_job(hook, self.job_id)
        except Conflict:
            
            job = hook.get_job(
                project_id=self.project_id,
                location=self.location,
                job_id=self.job_id,
            )
            if job.state in self.reattach_states:
                
                job._begin()