To analyze the relationship between the feature "marital" and the task of whether the client subscribes to a term deposit, we can look at the distribution of the feature values for each target class.

Here is a dictionary representing the relationship between the feature "marital" and the target variable:

```json
{
    "no": ["married", "single", "divorced"],
    "yes": ["married", "single", "divorced"]
}
```

Based on the provided feature description and without any additional information, it is assumed that all possible values of the "marital" feature are relevant to both target classes.