### 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)

kubeconfig_path = os.environ.get("KUBECONFIG")
    return kubeconfig_path if kubeconfig_path else os.path.expanduser("~/.kube/config")
@pytest.fixture
def test_label(request):
    label = "".join(c for c in f"{request.node.cls.__name__}.{request.node.name}" if c.isalnum()).lower()
    return label[-63:]
@pytest.fixture()
def mock_get_connection():
    with mock.patch(f"{HOOK_CLASS}.get_connection", return_value=Connection(conn_id="kubernetes_default")):
        yield
@pytest.mark.execution_timeout(180)
@pytest.mark.usefixtures("mock_get_connection")
class TestKubernetesPodOperatorSystem: