Based on my prior knowledge, the feature "Sex" may have some correlation with heart disease as certain heart diseases are more prevalent in either males or females. However, it's important to note that the relationship between Sex and heart disease can vary depending on the specific heart disease being considered.

To analyze the relationship between the feature "Sex" and the task of determining if the coronary angiography shows a heart disease, we can examine the distribution of sexes in the two target classes.

Here, the two target classes are:
- "no": coronary angiography does not show heart disease
- "yes": coronary angiography shows heart disease

Based on the provided feature description, the possible values for the feature "Sex" are ['M', 'F'].

To create the dictionary, let's consider the relationship between the feature "Sex" and the two target classes:

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

Since there are no specific details mentioned pointing towards certain values having a higher correlation with the target classes, we assume that both sexes are possible in each target class.

Please note that this analysis assumes no specific information or patterns related to the feature "Sex" and its relationship with the task of detecting heart disease.