### Apache Airflow version

Other Airflow 2 version (please specify below)

### What happened

version 2.6.2

An error occurs when *.json is included in the parameters of BigQueryInsertJobOperator.
``` py
to_gcs_task = BigQueryInsertJobOperator(
        dag=dag,
        task_id='to_gcs',
        gcp_conn_id='xxxx',
        configuration={
            "extract": {
                 # The error occurred at this location.          
                "destinationUris": ['gs://xxx/yyy/*.json'],


                "sourceTable": {
                    "projectId": "abc",
                    "datasetId": "def",
                    "tableId": "ghi"
                },
                "destinationFormat": "NEWLINE_DELIMITED_JSON"
            }
        }
    )
```

error log 
```
jinja2.exceptions.TemplateNotFound: gs://xxx/yyy/*.json
```

### What you think should happen instead

According to the airflow.template.templater 
source : https://github.com/apache/airflow/blob/main/airflow/template/templater.py#L152
```py
      if isinstance(value, str):
            if any(value.endswith(ext) for ext in self.template_ext):  # A filepath.
                template = jinja_env.get_template(value)
            else:
                template = jinja_env.from_string(value)
            return self._render(template, context)
```

In the Jinja template source, if the value ends with .json or .sql, an attempt is made to read the resource file by calling jinja_env.get_template.

### How to reproduce

just call BigQueryInsertJobOperator with configuration what i added 

### Operating System

m2 mac

### 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)

BaseOperator(task_id=f"task_group_task{i}", task_group=tg1, dag=dag) for i in range(1, 3)
        )
        tgop3, tgop4 = (
            BaseOperator(task_id=f"task_group_task{i}", task_group=tg2, dag=dag) for i in range(1, 3)
        )
        chain_linear(op1, tg1, tg2, op2)
        assert set(op1.get_direct_relatives(upstream=False)) == {tgop1, tgop2}
        assert set(tgop1.get_direct_relatives(upstream=False)) == {tgop3, tgop4}
        assert set(tgop2.get_direct_relatives(upstream=False)) == {tgop3, tgop4}
        assert set(tgop3.get_direct_relatives(upstream=False)) == {op2}
        assert set(tgop4.get_direct_relatives(upstream=False)) == {op2}
        t1, t2 = (BaseOperator(task_id=f"t-{i}", dag=dag) for i in range(1, 3))
        with pytest.raises(ValueError, match="Labels are not supported"):
            chain_linear(t1, Label("hi"), t2)
        with pytest.raises(ValueError, match="nothing to do"):
            chain_linear()
        with pytest.raises(ValueError, match="Did you forget to expand"):
            chain_linear(t1)
    def test_chain_not_support_type(self):
        dag = DAG(dag_id="test_chain", start_date=datetime.now())
        [op1, op2] = [BaseOperator(task_id=f"t{i}", dag=dag) for i in range(1, 3)]
        with pytest.raises(TypeError):
            chain([op1, op2], 1)
        
        [xop1, xop2] = [
            task_decorator(task_id=f"xcomarg_task{i}", python_callable=lambda: None, dag=dag)()
            for i in range(1, 3)
        ]
        with pytest.raises(TypeError):
            chain([xop1, xop2], 1)