### 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.gcs_schema_bucket = gcs_schema_bucket
            self.destination_project_dataset_table = destination_project_dataset_table
            self.schema_fields = schema_fields
            self.source_format = source_format
            self.compression = compression
            self.skip_leading_rows = skip_leading_rows
            self.field_delimiter = field_delimiter
            self.table_resource = None
        else:
            self.table_resource = table_resource
            self.bucket = ""
            self.source_objects = []
            self.schema_object = None
            self.gcs_schema_bucket = ""
            self.destination_project_dataset_table = ""
        if table_resource and kwargs_passed:
            raise ValueError("You provided both `table_resource` and exclusive keywords arguments.")
        self.max_bad_records = max_bad_records
        self.quote_character = quote_character
        self.allow_quoted_newlines = allow_quoted_newlines
        self.allow_jagged_rows = allow_jagged_rows
        self.gcp_conn_id = gcp_conn_id
        self.google_cloud_storage_conn_id = google_cloud_storage_conn_id
        self.autodetect = autodetect
        self.src_fmt_configs = src_fmt_configs or {}
        self.labels = labels
        self.encryption_configuration = encryption_configuration
        self.location = location
        self.impersonation_chain = impersonation_chain
    def execute(self, context: Context) -> None: