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:
Cette décision s'est avéré très polémique, avec les manifestations que cela a entraîné parmi les habitants de Landarbaso et des trois communes voisines.
Postion	Tokenization
1	Cette
2	décision
3	s'
4	est
5	avéré
6	très
7	polémique
8	,
9	avec
10	les
11	manifestations
12	que
13	cela
14	a
15	entraîné
16	parmi
17	les
18	habitants
19	de
20	Landarbaso
21	et
22	des
23	de
24	les
25	trois
26	communes
27	voisines
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Cette	DET	2	det
2	décision	NOUN	5	nsubj
3	s'	PRON	5	dep:comp
4	est	AUX	5	aux:tense
5	avéré	VERB	0	root
6	très	ADV	7	advmod
7	polémique	ADJ	5	xcomp:pred
8	,	PUNCT	11	punct
9	avec	ADP	11	case
10	les	DET	11	det
11	manifestations	NOUN	5	obl:mod
12	que	PRON	15	obj
13	cela	PRON	15	nsubj
14	a	AUX	15	aux:tense
15	entraîné	VERB	11	acl:relcl
16	parmi	ADP	18	case
17	les	DET	18	det
18	habitants	NOUN	15	obl:mod
19	de	ADP	20	case
20	Landarbaso	PROPN	18	nmod
21	et	CCONJ	25	cc
22	des	_	None	_
23	de	ADP	25	case
24	les	DET	25	det
25	trois	NUM	25	nummod
26	communes	NOUN	20	conj
27	voisines	ADJ	25	amod
28	.	PUNCT	5	punct