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:
Mais, dans ce processus, de nouveaux mouvements sociaux et citoyens se sont développés en Amérique Latine, modifiant la situation dans de nombreux pays et dans la région.
Postion	Tokenization
1	Mais
2	,
3	dans
4	ce
5	processus
6	,
7	de
8	nouveaux
9	mouvements
10	sociaux
11	et
12	citoyens
13	se
14	sont
15	développés
16	en
17	Amérique
18	Latine
19	,
20	modifiant
21	la
22	situation
23	dans
24	de
25	nombreux
26	pays
27	et
28	dans
29	la
30	région
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Mais	CCONJ	15	cc
2	,	PUNCT	1	punct
3	dans	ADP	5	case
4	ce	DET	5	det
5	processus	NOUN	15	obl:mod
6	,	PUNCT	5	punct
7	de	DET	9	det
8	nouveaux	ADJ	9	amod
9	mouvements	NOUN	15	nsubj
10	sociaux	ADJ	9	amod
11	et	CCONJ	12	cc
12	citoyens	ADJ	10	conj
13	se	PRON	15	expl:pass
14	sont	AUX	15	aux:tense
15	développés	VERB	0	root
16	en	ADP	17	case
17	Amérique	PROPN	15	obl:mod
18	Latine	ADJ	17	amod
19	,	PUNCT	20	punct
20	modifiant	VERB	15	advcl
21	la	DET	22	det
22	situation	NOUN	20	obj
23	dans	ADP	26	case
24	de	DET	26	det
25	nombreux	ADJ	26	amod
26	pays	NOUN	20	obl:mod
27	et	CCONJ	30	cc
28	dans	ADP	30	case
29	la	DET	30	det
30	région	NOUN	26	conj
31	.	PUNCT	15	punct