### Description

Add a process_line callback to KubernetesPodOperator 
Like https://github.com/apache/airflow/blob/main/airflow/providers/apache/beam/operators/beam.py#LL304C36-L304C57 the `BeamRunPythonPipelineOperator`, which allows the user to add stateful plugins based on the logging from docker job 

### Use case/motivation

I can add a plugin based on the logging and also allow cleanup on_kill based on the job creation log. 

### Related issues

_No response_

### Are you willing to submit a 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)

pass
        with mock.patch(
            "airflow.providers.cncf.kubernetes.operators.pod.get_container_termination_message",
            side_effect=ShortCircuitException(),
        ) as mock_get_container_termination_message:
            with pytest.raises(ShortCircuitException):
                k.execute(context)
        assert mock_get_container_termination_message.call_args[0][1] == "apple-sauce"
    def test_base_container_name_init_precedence(self, mock_get_connection):
        assert (
            KubernetesPodOperator(base_container_name="apple-sauce", task_id=str(uuid4())).base_container_name
            == "apple-sauce"
        )
        assert (
            KubernetesPodOperator(task_id=str(uuid4())).base_container_name
            == KubernetesPodOperator.BASE_CONTAINER_NAME
        )
        class MyK8SPodOperator(KubernetesPodOperator):
            BASE_CONTAINER_NAME = "tomato-sauce"
        assert (
            MyK8SPodOperator(base_container_name="apple-sauce", task_id=str(uuid4())).base_container_name
            == "apple-sauce"
        )
        assert MyK8SPodOperator(task_id=str(uuid4())).base_container_name == "tomato-sauce"
def test_hide_sensitive_field_in_templated_fields_on_error(caplog, monkeypatch):
    logger = logging.getLogger("airflow.task")
    monkeypatch.setattr(logger, "propagate", True)
    class Var: