Based on my prior knowledge, the feature "Sex" may have a relationship with the presence of heart disease. Although heart disease can occur in both genders, there have been several studies that suggest that gender can influence the development of heart disease. For instance, men tend to have a higher risk of heart disease at an earlier age compared to women.

To analyze the relationship between the feature "Sex" and the presence of heart disease, we can examine the distribution of each gender within the target classes. We will look at the coronary angiography results to determine whether the patient has a heart disease or not.

Here are the possible values of the feature "Sex" and their corresponding target classes:

- Target class: No
  - Possible values of feature "Sex": ['M', 'F']
- Target class: Yes
  - Possible values of feature "Sex": ['M', 'F']

Based on this analysis, we can create the following dictionary:

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

This dictionary indicates that both genders (male and female) can be present in both the "No" and "Yes" target classes for heart disease.