As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
    - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
    - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	3	det
2	big	ADJ	3	amod
3	dog	NOUN	4	nsubj
4	chased	VERB	0	ROOT
5	the	DET	6	det
6	cat	NOUN	4	obj
7	.	PUNCT	4	punct
Generate UD annotations for the following tokenized text:
in my opinon this place should be shut down by the health inspector, and anyone who is satisfied with there service and food has never eaten at a real asian restaurant.
Postion	Tokenization
1	in
2	my
3	opinon
4	this
5	place
6	should
7	be
8	shut
9	down
10	by
11	the
12	health
13	inspector
14	,
15	and
16	anyone
17	who
18	is
19	satisfied
20	with
21	there
22	service
23	and
24	food
25	has
26	never
27	eaten
28	at
29	a
30	real
31	asian
32	restaurant
33	.
Position	Tokenization	UPOS	Head	Deprel
1	in	ADP	3	case
2	my	PRON	3	nmod:poss
3	opinon	NOUN	8	obl
4	this	DET	5	det
5	place	NOUN	8	nsubj:pass
6	should	AUX	8	aux
7	be	AUX	8	aux:pass
8	shut	VERB	0	root
9	down	ADP	8	compound:prt
10	by	ADP	13	case
11	the	DET	13	det
12	health	NOUN	13	compound
13	inspector	NOUN	8	obl
14	,	PUNCT	27	punct
15	and	CCONJ	27	cc
16	anyone	PRON	27	nsubj
17	who	PRON	19	nsubj
18	is	AUX	19	cop
19	satisfied	ADJ	16	acl:relcl
20	with	ADP	22	case
21	there	PRON	22	nmod:poss
22	service	NOUN	19	obl
23	and	CCONJ	24	cc
24	food	NOUN	22	conj
25	has	AUX	27	aux
26	never	ADV	27	advmod
27	eaten	VERB	8	conj
28	at	ADP	32	case
29	a	DET	32	det
30	real	ADJ	32	amod
31	asian	ADJ	32	amod
32	restaurant	NOUN	27	obl
33	.	PUNCT	8	punct