In this task, we ask you to parse restaurant descriptions into a structured data table of key-value pairs. Here are the attributes (keys) and their examples values. You should preserve this order when creating the answer: 
 name: The Eagle,... 
 eatType: restaurant, coffee shop,... 
 food: French, Italian,... 
 priceRange: cheap, expensive,... 
 customerRating: 1 of 5 (low), 4 of 5 (high) 
 area: riverside, city center, ... 
 familyFriendly: Yes / No 
 near: Panda Express,...
 The output table may contain all or only some of the attributes but must not contain unlisted attributes. For the output to be considered correct, it also must parse all of the attributes existant in the input sentence; in other words, incomplete parsing would be considered incorrect.

Example Input: For Chinese food go to Cotto in the city center near Café Rouge.
Example Output: name[Cotto], food[Chinese], near[Café Rouge]

Example Input: The Phoenix is a High priced Sushi restaurant with 3 stars.
Example Output: name[The Phoenix], food[Japanese], priceRange[high], customer rating[3 out of 5], area[riverside]

Example Input: Browns Cambridge is a high priced restaurant that offers a variety of food and drinks.
Example Output:
name[Browns Cambridge], food[French], priceRange[more than £30], customer rating[low]