### 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.table_project_id = table_project_id
        self.dataset_id = dataset_id
        self.table_id = table_id
        self.job_project_id = job_project_id
        self.max_results = int(max_results)
        self.selected_fields = selected_fields
        self.gcp_conn_id = gcp_conn_id
        self.location = location
        self.impersonation_chain = impersonation_chain
        self.project_id = project_id
        self.deferrable = deferrable
        self.poll_interval = poll_interval
        self.as_dict = as_dict
        self.use_legacy_sql = use_legacy_sql
    def _submit_job(
        self,
        hook: BigQueryHook,
        job_id: str,
    ) -> BigQueryJob:
        get_query = self.generate_query(hook=hook)
        configuration = {"query": {"query": get_query, "useLegacySql": self.use_legacy_sql}}
        """Submit a new job and get the job id for polling the status using Triggerer."""
        return hook.insert_job(
            configuration=configuration,
            location=self.location,
            project_id=self.job_project_id or hook.project_id,
            job_id=job_id,
            nowait=True,
        )
    def generate_query(self, hook: BigQueryHook) -> str: