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:
Elle devient, du Xe siècle au XIIe siècle, un important centre d'enseignement et une des premières universités au monde.
Postion	Tokenization
1	Elle
2	devient
3	,
4	du
5	de
6	le
7	Xe
8	siècle
9	au
10	à
11	le
12	XIIe
13	siècle
14	,
15	un
16	important
17	centre
18	d'
19	enseignement
20	et
21	une
22	des
23	de
24	les
25	premières
26	universités
27	au
28	à
29	le
30	monde
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Elle	PRON	2	nsubj
2	devient	VERB	0	root
3	,	PUNCT	7	punct
4	du	_	None	_
5	de	ADP	7	case
6	le	DET	7	det
7	Xe	ADJ	7	amod
8	siècle	NOUN	2	obl:mod
9	au	_	None	_
10	à	ADP	11	case
11	le	DET	11	det
12	XIIe	ADJ	11	amod
13	siècle	NOUN	7	nmod
14	,	PUNCT	15	punct
15	un	DET	15	det
16	important	ADJ	15	amod
17	centre	NOUN	2	xcomp:pred
18	d'	ADP	17	case
19	enseignement	NOUN	15	nmod
20	et	CCONJ	19	cc
21	une	PRON	15	conj
22	des	_	None	_
23	de	ADP	23	case
24	les	DET	23	det
25	premières	ADJ	23	amod
26	universités	NOUN	19	nmod
27	au	_	None	_
28	à	ADP	26	case
29	le	DET	26	det
30	monde	NOUN	23	nmod
31	.	PUNCT	2	punct