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:
Les militants écologistes ont bien accueilli cet effort visant à dresser un tableau plus complet des problèmes de pollution du pays, mais ont néanmoins appelé à une plus grande transparence.
Postion	Tokenization
1	Les
2	militants
3	écologistes
4	ont
5	bien
6	accueilli
7	cet
8	effort
9	visant
10	à
11	dresser
12	un
13	tableau
14	plus
15	complet
16	des
17	de
18	les
19	problèmes
20	de
21	pollution
22	du
23	de
24	le
25	pays
26	,
27	mais
28	ont
29	néanmoins
30	appelé
31	à
32	une
33	plus
34	grande
35	transparence
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Les	DET	2	det
2	militants	NOUN	6	nsubj
3	écologistes	ADJ	2	amod
4	ont	AUX	6	aux:tense
5	bien	ADV	6	advmod
6	accueilli	VERB	0	root
7	cet	DET	8	det
8	effort	NOUN	6	obj
9	visant	VERB	8	acl
10	à	ADP	11	mark
11	dresser	VERB	9	xcomp:obl
12	un	DET	13	det
13	tableau	NOUN	11	obj
14	plus	ADV	15	advmod
15	complet	ADJ	13	amod
16	des	_	None	_
17	de	ADP	18	case
18	les	DET	18	det
19	problèmes	NOUN	13	nmod
20	de	ADP	20	case
21	pollution	NOUN	18	nmod
22	du	_	None	_
23	de	ADP	23	case
24	le	DET	23	det
25	pays	NOUN	18	nmod
26	,	PUNCT	28	punct
27	mais	CCONJ	28	cc
28	ont	AUX	28	aux:tense
29	néanmoins	ADV	28	advmod
30	appelé	VERB	6	conj
31	à	ADP	33	case
32	une	DET	33	det
33	plus	ADV	32	advmod
34	grande	ADJ	33	amod
35	transparence	NOUN	28	obl:arg
36	.	PUNCT	6	punct