### 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)

with pytest.raises(TypeError):
            chain([Label("labe1"), Label("label2")], 1)
        
        [tg1, tg2] = [TaskGroup(group_id=f"tg{i}", dag=dag) for i in range(1, 3)]
        with pytest.raises(TypeError):
            chain([tg1, tg2], 1)
    def test_chain_different_length_iterable(self):
        dag = DAG(dag_id="test_chain", start_date=datetime.now())
        [label1, label2] = [Label(label=f"label{i}") for i in range(1, 3)]
        [op1, op2, op3, op4, op5] = [BaseOperator(task_id=f"t{i}", dag=dag) for i in range(1, 6)]
        with pytest.raises(AirflowException):
            chain([op1, op2], [op3, op4, op5])
        with pytest.raises(AirflowException):
            chain([op1, op2, op3], [label1, label2])
        
        [label3, label4] = [Label(label=f"xcomarg_label{i}") for i in range(1, 3)]
        [xop1, xop2, xop3, xop4, xop5] = [
            task_decorator(task_id=f"xcomarg_task{i}", python_callable=lambda: None, dag=dag)()
            for i in range(1, 6)
        ]
        with pytest.raises(AirflowException):
            chain([xop1, xop2], [xop3, xop4, xop5])
        with pytest.raises(AirflowException):
            chain([xop1, xop2, xop3], [label1, label2])
        
        [tg1, tg2, tg3, tg4, tg5] = [TaskGroup(group_id=f"tg{i}", dag=dag) for i in range(1, 6)]
        with pytest.raises(AirflowException):
            chain([tg1, tg2], [tg3, tg4, tg5])
    def test_lineage_composition(self):