Based on prior knowledge, there may be a relationship between the use of lidocaine in the ICU (LID_S_n) and the presence of chronic heart failure (target variable). 

To analyze this relationship, we can examine the distribution of LID_S_n values for patients with and without chronic heart failure. If there is a significant difference in the distribution of LID_S_n values between the two groups, it may indicate a relationship between the feature and the target.

Based on the analysis, the dictionary with the required format would look like this:

```json
{
	"no": ["yes", "no"], 
	"yes": ["yes", "no"]
}
```

Please note that in this case, the dictionary contains all possible values of the feature LID_S_n for both target classes (yes and no). However, if there are certain values of LID_S_n that are hard to predict or have very few instances, they may not be included in the dictionary.