Based on prior knowledge, the feature "Sex" may have some relationship with the presence of heart disease. 

To analyze the relationship between the feature "Sex" and the task of whether coronary angiography shows a heart disease, we can examine the distribution of the feature values for the target classes of "yes" and "no". 

Here is the analysis and the resulting dictionary:

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

Based on the available information, both males ("M") and females ("F") can be associated with both the presence and absence of heart disease. Therefore, the dictionary shows that both categories of the feature "Sex" are possible for each target class.