Hi

I have issues creating sns subscriptions through Cloudformation. If I attempt to include a `AWS::SNS::Subscription` resource in a Cloudformation template and run `create-stack` then I get a 500 Internal Server error. The full template:

```
AWSTemplateFormatVersion: '2010-09-09'
Description: 'Test'
Resources:
  MySnsTopic:
    Type: AWS::SNS::Topic
    Properties:
      TopicName: MySnsTopic
  MySnsTopicSubscription:
    Type: AWS::SNS::Subscription
    Properties:
      Protocol: sqs
      TopicArn: !Ref MySnsTopic
      Endpoint: !GetAtt
        - MySqsQueue
        - QueueArn
  MySqsQueue:
    Type: AWS::SQS::Queue
    Properties:
      QueueName: MySqsQueue
```

If I replace the references with hard-coded arns like this:

```
TopicArn: arn:aws:sns:eu-west-2:123456789012:MySnsTopic
Endpoint: arn:aws:sqs:elasticmq:000000000000:MySqsQueue
```

Then I get no errors but I get a warning:

`No moto Cloudformation support for AWS::SNS::Subscription`.

I can get around this issue by creating the subscription when creating the topic but the issue there is that I cannot add any attributes and in my case I need `RawMessageDelivery` set to true. So my questions are:

1. Is there no support to create `AWS::SNS::Subscription` resources through Cloudformation or am I doing something wrong?
2. If support is not there can I request it as a new feature?
3. Any suggestions on how I can work around this? I know I could do this through a script at startup but would like to not have any additional script steps other than deploying the Cloudformation stack.

<!-- Love localstack? Please consider supporting our collective:
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env = get_environment(env)
    
    stream = KinesisStream(id=stream_name, num_shards=shards)
    conn = connect_to_service('kinesis', env=env)
    stream.connect(conn)
    if delete:
        run_safe(lambda: stream.destroy(), print_error=False)
    stream.create()
    stream.wait_for()
    return stream
def kinesis_get_latest_records(stream_name, shard_id, count=10, env=None):
    kinesis = connect_to_service('kinesis', env=env)
    result = []
    response = kinesis.get_shard_iterator(StreamName=stream_name, ShardId=shard_id,
        ShardIteratorType='TRIM_HORIZON')
    shard_iterator = response['ShardIterator']
    while shard_iterator:
        records_response = kinesis.get_records(ShardIterator=shard_iterator)
        records = records_response['Records']
        for record in records:
            try:
                record['Data'] = to_str(record['Data'])
            except Exception:
                pass
        result.extend(records)
        shard_iterator = records_response['NextShardIterator'] if records else False
        while len(result) > count:
            result.pop(0)
    return result