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:
Il a aussi contribué à la création du Collège d'Europe de Bruges et du Centre européen de la culture de Genève.
Postion	Tokenization
1	Il
2	a
3	aussi
4	contribué
5	à
6	la
7	création
8	du
9	de
10	le
11	Collège
12	d'
13	Europe
14	de
15	Bruges
16	et
17	du
18	de
19	le
20	Centre
21	européen
22	de
23	la
24	culture
25	de
26	Genève
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Il	PRON	4	nsubj
2	a	AUX	4	aux:tense
3	aussi	ADV	4	advmod
4	contribué	VERB	0	root
5	à	ADP	7	case
6	la	DET	7	det
7	création	NOUN	4	obl:arg
8	du	_	None	_
9	de	ADP	10	case
10	le	DET	10	det
11	Collège	PROPN	7	nmod
12	d'	ADP	12	case
13	Europe	PROPN	10	nmod
14	de	ADP	14	case
15	Bruges	PROPN	10	nmod
16	et	CCONJ	18	cc
17	du	_	None	_
18	de	ADP	18	case
19	le	DET	18	det
20	Centre	NOUN	10	conj
21	européen	ADJ	18	amod
22	de	ADP	22	case
23	la	DET	22	det
24	culture	NOUN	18	nmod
25	de	ADP	24	case
26	Genève	PROPN	18	nmod
27	.	PUNCT	4	punct