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:
Certains l'utilisent pour proposer des changements radicaux, d'autres considèrent qu'il peut apporter aux mots du langage courant une nuance de modération et de réflexion.
Postion	Tokenization
1	Certains
2	l'
3	utilisent
4	pour
5	proposer
6	des
7	changements
8	radicaux
9	,
10	d'
11	autres
12	considèrent
13	qu'
14	il
15	peut
16	apporter
17	aux
18	à
19	les
20	mots
21	du
22	de
23	le
24	langage
25	courant
26	une
27	nuance
28	de
29	modération
30	et
31	de
32	réflexion
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Certains	PRON	3	nsubj
2	l'	PRON	3	obj
3	utilisent	VERB	0	root
4	pour	ADP	5	mark
5	proposer	VERB	3	advcl
6	des	DET	7	det
7	changements	NOUN	5	obj
8	radicaux	ADJ	7	amod
9	,	PUNCT	12	punct
10	d'	DET	11	det
11	autres	PRON	12	nsubj
12	considèrent	VERB	3	conj
13	qu'	SCONJ	15	mark
14	il	PRON	15	nsubj
15	peut	VERB	12	ccomp:obj
16	apporter	VERB	15	xcomp:obj
17	aux	_	None	_
18	à	ADP	19	case
19	les	DET	19	det
20	mots	NOUN	16	obl:arg
21	du	_	None	_
22	de	ADP	22	case
23	le	DET	22	det
24	langage	NOUN	19	nmod
25	courant	ADJ	22	amod
26	une	DET	25	det
27	nuance	NOUN	16	obj
28	de	ADP	27	case
29	modération	NOUN	25	nmod
30	et	CCONJ	30	cc
31	de	ADP	30	case
32	réflexion	NOUN	27	conj
33	.	PUNCT	3	punct