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:
L'étiquetage des objets d'un ensemble de grande dimensions représente une tâche difficile et coûteuse en temps ce qui la rend souvent infaisable.
Postion	Tokenization
1	L'
2	étiquetage
3	des
4	de
5	les
6	objets
7	d'
8	un
9	ensemble
10	de
11	grande
12	dimensions
13	représente
14	une
15	tâche
16	difficile
17	et
18	coûteuse
19	en
20	temps
21	ce
22	qui
23	la
24	rend
25	souvent
26	infaisable
27	.
Position	Tokenization	UPOS	Head	Deprel
1	L'	DET	2	det
2	étiquetage	NOUN	12	nsubj
3	des	_	None	_
4	de	ADP	5	case
5	les	DET	5	det
6	objets	NOUN	2	nmod
7	d'	ADP	8	case
8	un	DET	8	det
9	ensemble	NOUN	5	nmod
10	de	ADP	11	case
11	grande	ADJ	11	amod
12	dimensions	NOUN	8	nmod
13	représente	VERB	0	root
14	une	DET	14	det
15	tâche	NOUN	12	xcomp:pred
16	difficile	ADJ	14	amod
17	et	CCONJ	17	cc
18	coûteuse	ADJ	15	conj
19	en	ADP	19	case
20	temps	NOUN	17	obl:mod
21	ce	PRON	14	appos
22	qui	PRON	23	nsubj
23	la	PRON	23	obj
24	rend	VERB	20	acl:relcl
25	souvent	ADV	23	advmod
26	infaisable	ADJ	23	xcomp:pred
27	.	PUNCT	12	punct