### Is there an existing issue for this?

- [X] I have searched the existing issues

### Current Behavior

When invoking a lambda with a nodejs runtime and local executor, localstack is unable to handle payloads containing a single quote.

### Expected Behavior

Locally executed nodejs lambdas should be able to handle any stringified json payload

### How are you starting LocalStack?

With a docker-compose file

### Steps To Reproduce

https://github.com/alxyuu/localstack-issue

### Environment

```markdown
- OS: MacOS 11.5.2
- LocalStack: latest (0.12.18)
```


### Anything else?

The culprit appears to be in how node gets executed locally, with a single quoted eval:
https://github.com/localstack/localstack/blob/812acc1226537ee92477bd91596de200b8888a6c/localstack/services/awslambda/lambda_executors.py#L1262-L1270

doing something like `event_json_string.replace("'", "'\\''")` may be a simple resolution to the issue.
executor.function_invoke_times[func_arn] = (
            time.time() - lambda_executors.MAX_CONTAINER_IDLE_TIME_MS
        )
        executor.idle_container_destroyer()
        self.assertEqual(0, len(executor.get_all_container_names()))
        
        testutil.delete_lambda_function(func_name)
def test_kinesis_lambda_parallelism(lambda_client, kinesis_client):
    old_config = config.SYNCHRONOUS_KINESIS_EVENTS
    config.SYNCHRONOUS_KINESIS_EVENTS = False
    try:
        _run_kinesis_lambda_parallelism(lambda_client, kinesis_client)
    finally:
        config.SYNCHRONOUS_KINESIS_EVENTS = old_config
def _run_kinesis_lambda_parallelism(lambda_client, kinesis_client):
    function_name = "lambda_func-{}".format(short_uid())
    stream_name = "test-foobar-{}".format(short_uid())
    testutil.create_lambda_function(
        handler_file=TEST_LAMBDA_PARALLEL_FILE,
        func_name=function_name,
        runtime=LAMBDA_RUNTIME_PYTHON36,
    )
    arn = aws_stack.kinesis_stream_arn(stream_name, account_id="000000000000")
    lambda_client.create_event_source_mapping(EventSourceArn=arn, FunctionName=function_name)
    def process_records(record):
        print("Processing {}".format(record))
    aws_stack.create_kinesis_stream(stream_name, delete=True)
    kinesis_connector.listen_to_kinesis(
        stream_name=stream_name,