### 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)

if not self.labels:
            return None
        return ",".join([f"{key}={value}" for key, value in enumerate(self.labels)])
    def test_do_xcom_push_defaults_false(self, kubeconfig_path, mock_get_connection):
        with NamedTemporaryFile(prefix="kube_config", suffix=".cfg") as f:
            new_config_path = f.name
        shutil.copy(kubeconfig_path, new_config_path)
        k = KubernetesPodOperator(
            namespace="default",
            image="ubuntu:16.04",
            cmds=["bash", "-cx"],
            arguments=["echo 10"],
            labels=self.labels,
            task_id=str(uuid4()),
            in_cluster=False,
            do_xcom_push=False,
            config_file=new_config_path,
        )
        assert not k.do_xcom_push
    def test_config_path_move(self, kubeconfig_path, mock_get_connection):