Ability to annotate DAG's source (repo, tag, commit, etc)

### Description OpenLineage integration can provide information which DAGs and Task were executed, that datasets were read or written, and so on. Also there are a lot of facets containing all information about DAG and Tasks, e.g. scheduled time, owner, tags and so on. One of facets OpenLineage have is [SourceCodeLocation](https://openlineage.io/docs/spec/facets/job-facets/source-code-location/) which allows users to see the repo DAG source code was originated from, as well as branch name, commit, tag and so on. But there is no way to add annotations to DAG which allow to collect this information and send it as some facet. Probably something like this could be implemented: ```python from airflow.sdk import DAG, SourceCodeLocation dag = DAG( dag_id="my_dag", source_code_location=SourceCodeLocation( repo_url="http://github.com/user/repo", branch="main", path="/some/dag.py", version="6f1cab2f" ), ) ``` ### Use case/motivation My use case is: * There is a repo with ETL scripts and DAG .py files. Multiple users work with code within this repo, and create branches with scripts/DAGs updates. * Each branch (e.g. `bugfix/123` or `feature/123` branch) is deployed to Airflow. To prevent overriding working files of different users, `/opt/airflow/dags` folder have a structure `{repo_name}/{branch_name}/my_dag.py`. * For Airflow on host, branch can be cloned using `git clone` or `rsync`. * For Airflow in Kubernetes this is done via custom sidecar which clones every branch within a repo to create this directory structure. * After branch is merged, directory containing DAGs for this branch is removed from Airflow. I'm not using `gitsync` sidecar because it clones only one specific branch (e.g. `main`), and cannot be configured without redeploying Airflow workers & dag processor. Same for `GitDagBundle` in Airflow 3.x - bundles are set up using airflow.cfg, not via API, and changing this config require restarting DagProcessor. Also OpenLineage integration for Ai…