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:
Ainsi, pour Link, on voit une illustration de The Legend of Zelda : Twilight Princess au lieu de celui de The Legend of Zelda par exemple.
Postion	Tokenization
1	Ainsi
2	,
3	pour
4	Link
5	,
6	on
7	voit
8	une
9	illustration
10	de
11	The
12	Legend
13	of
14	Zelda
15	:
16	Twilight
17	Princess
18	au
19	à
20	le
21	lieu
22	de
23	celui
24	de
25	The
26	Legend
27	of
28	Zelda
29	par
30	exemple
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Ainsi	ADV	7	advmod
2	,	PUNCT	1	punct
3	pour	ADP	4	case
4	Link	PROPN	7	obl:mod
5	,	PUNCT	4	punct
6	on	PRON	7	nsubj
7	voit	VERB	0	root
8	une	DET	9	det
9	illustration	NOUN	7	obj
10	de	ADP	11	case
11	The	X	9	nmod
12	Legend	X	11	flat:foreign
13	of	X	12	flat:foreign
14	Zelda	X	13	flat:foreign
15	:	PUNCT	14	punct
16	Twilight	X	14	flat:foreign
17	Princess	X	16	flat:foreign
18	au	_	None	_
19	à	ADP	9	advmod
20	le	DET	18	fixed
21	lieu	NOUN	18	fixed
22	de	ADP	22	case
23	celui	PRON	18	obl:arg
24	de	ADP	24	case
25	The	X	22	nmod
26	Legend	X	24	flat:foreign
27	of	X	25	flat:foreign
28	Zelda	X	26	flat:foreign
29	par	ADP	7	advmod
30	exemple	NOUN	28	fixed
31	.	PUNCT	7	punct