### 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)

exception_message = (
            "Specifying resources for the launched pod with 'resources' is deprecated. "
            "Use 'container_resources' instead."
        )
        with pytest.raises(AirflowException, match=exception_message):
            resources = k8s.V1ResourceRequirements(
                requests={"memory": "64Mi", "cpu": "250m", "ephemeral-storage": "1Gi"},
                limits={"memory": "64Mi", "cpu": 0.25, "nvidia.com/gpu": None, "ephemeral-storage": "2Gi"},
            )
            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,
                resources=resources,
            )
    def test_changing_base_container_name_with_get_logs(self, mock_get_connection):