### Description

Make resources in KubernetesPodOperator as templated. We need to modify this during several runs and it needs code change for each run.

### Use case/motivation

For running CPU and memory intensive workloads, we want to continuously optimise the "limt_cpu" and "limit_memory" parameters. Hence, we want to provide these parameters as a part of the pipeline definition.

### Related issues

_No response_

### Are you willing to submit a PR?

- [X] 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)

hook_mock.return_value.get_xcom_sidecar_container_image.return_value = None
        k = KubernetesPodOperator(
            name="test",
            task_id="task",
            do_xcom_push=True,
        )
        pod = k.build_pod_request_obj(create_context(k))
        assert pod.spec.containers[1].image == "alpine"
    @patch(HOOK_CLASS)
    def test_xcom_sidecar_container_image_custom(self, hook_mock):
        hook_mock.return_value.get_xcom_sidecar_container_image.return_value = "private.repo/alpine:3.13"
        k = KubernetesPodOperator(
            name="test",
            task_id="task",
            do_xcom_push=True,
        )
        pod = k.build_pod_request_obj(create_context(k))
        assert pod.spec.containers[1].image == "private.repo/alpine:3.13"
    def test_image_pull_policy_correctly_set(self):