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'utilisation de Remedy sert aussi à la distribution de tâches lors d'un projet d'envergure, chaque groupe en question se voit alors attribuer les tâches nécessaires à l'accomplissement du projet.
Postion	Tokenization
1	L'
2	utilisation
3	de
4	Remedy
5	sert
6	aussi
7	à
8	la
9	distribution
10	de
11	tâches
12	lors
13	d'
14	un
15	projet
16	d'
17	envergure
18	,
19	chaque
20	groupe
21	en
22	question
23	se
24	voit
25	alors
26	attribuer
27	les
28	tâches
29	nécessaires
30	à
31	l'
32	accomplissement
33	du
34	de
35	le
36	projet
37	.
Position	Tokenization	UPOS	Head	Deprel
1	L'	DET	2	det
2	utilisation	NOUN	5	nsubj
3	de	ADP	4	case
4	Remedy	PROPN	2	nmod
5	sert	VERB	0	root
6	aussi	ADV	5	advmod
7	à	ADP	9	case
8	la	DET	9	det
9	distribution	NOUN	5	obl:arg
10	de	ADP	11	case
11	tâches	NOUN	9	nmod
12	lors	ADV	5	advmod
13	d'	ADP	15	case
14	un	DET	15	det
15	projet	NOUN	12	obl:arg
16	d'	ADP	17	case
17	envergure	NOUN	15	nmod
18	,	PUNCT	24	punct
19	chaque	DET	20	det
20	groupe	NOUN	24	nsubj
21	en	ADP	22	case
22	question	NOUN	20	nmod
23	se	PRON	24	dep:comp
24	voit	VERB	5	advcl
25	alors	ADV	24	advmod
26	attribuer	VERB	24	xcomp:obj
27	les	DET	28	det
28	tâches	NOUN	26	obj
29	nécessaires	ADJ	28	amod
30	à	ADP	32	case
31	l'	DET	32	det
32	accomplissement	NOUN	29	obl:arg
33	du	_	None	_
34	de	ADP	35	case
35	le	DET	35	det
36	projet	NOUN	32	nmod
37	.	PUNCT	5	punct