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 met en évidence les transformations sociales profondes liées à la démographie scolaire qui se traduit d'un côté par l'exode des cerveaux, de l'autre par les chômeurs diplômés.
Postion	Tokenization
1	Elle
2	met
3	en
4	évidence
5	les
6	transformations
7	sociales
8	profondes
9	liées
10	à
11	la
12	démographie
13	scolaire
14	qui
15	se
16	traduit
17	d'
18	un
19	côté
20	par
21	l'
22	exode
23	des
24	de
25	les
26	cerveaux
27	,
28	de
29	l'
30	autre
31	par
32	les
33	chômeurs
34	diplômés
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Elle	PRON	2	nsubj
2	met	VERB	0	root
3	en	ADP	4	case
4	évidence	PROPN	2	obl:mod
5	les	DET	6	det
6	transformations	NOUN	2	obj
7	sociales	ADJ	6	amod
8	profondes	ADJ	6	amod
9	liées	VERB	6	acl
10	à	ADP	12	case
11	la	DET	12	det
12	démographie	NOUN	9	obl:arg
13	scolaire	ADJ	12	amod
14	qui	PRON	16	nsubj:pass
15	se	PRON	16	expl:pass
16	traduit	VERB	12	acl:relcl
17	d'	ADP	19	case
18	un	DET	19	det
19	côté	NOUN	16	obl:mod
20	par	ADP	22	case
21	l'	DET	22	det
22	exode	NOUN	16	obl:arg
23	des	_	None	_
24	de	ADP	25	case
25	les	DET	25	det
26	cerveaux	NOUN	22	nmod
27	,	PUNCT	29	punct
28	de	ADP	29	case
29	l'	DET	29	det
30	autre	PRON	16	obl:mod
31	par	ADP	32	case
32	les	DET	32	det
33	chômeurs	NOUN	16	obl:arg
34	diplômés	ADJ	32	amod
35	.	PUNCT	2	punct