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: The Eagle is a French restaurant with low customer ratings.
Example Output: name[The Eagle], food[French], customer rating[low]

Example Input: Alimentum features Chinese food with average customer ratings at a high price.  It is located in riverside near Yippee Noodle Bar.
Example Output: name[Alimentum], food[Chinese], priceRange[high], customer rating[average], area[riverside], near[Yippee Noodle Bar]

Example Input: The French restaurant Browns Cambridge is cheap and has a great customer rating of 5 out of 5.
Example Output:
name[Browns Cambridge], food[French], priceRange[cheap], customer rating[5 out of 5]