To analyze the relationship between the feature "Sex" and the target variable "coronary angiography showing a heart disease", we can examine if there are any patterns or differences in the distributions of the feature for each target class.

Based on prior knowledge, it is known that heart disease can have different prevalence rates between sexes. Men generally have a higher risk of developing heart disease compared to women. Therefore, we can expect to see some differences in the distribution of heart disease based on the sex of the patient.

To analyze the relationship, we can group the data by the target variable and then examine the distribution of the feature "Sex" within each group.

Here is the generated dictionary:

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

Based on the analysis, it appears that both males (M) and females (F) can have a coronary angiography showing heart disease, as indicated by the presence of both sex categories for both target classes.