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:
Il est membre du Centre de recherche et d'information pour le développement (CRID), de la Plate-forme française pour le commerce équitable, de NEWS !
Postion	Tokenization
1	Il
2	est
3	membre
4	du
5	de
6	le
7	Centre
8	de
9	recherche
10	et
11	d'
12	information
13	pour
14	le
15	développement
16	(
17	CRID
18	)
19	,
20	de
21	la
22	Plate-forme
23	française
24	pour
25	le
26	commerce
27	équitable
28	,
29	de
30	NEWS
31	!
Position	Tokenization	UPOS	Head	Deprel
1	Il	PRON	3	nsubj
2	est	AUX	3	cop
3	membre	NOUN	0	root
4	du	_	None	_
5	de	ADP	6	case
6	le	DET	6	det
7	Centre	NOUN	3	nmod
8	de	ADP	8	case
9	recherche	NOUN	6	nmod
10	et	CCONJ	11	cc
11	d'	ADP	11	case
12	information	NOUN	8	conj
13	pour	ADP	14	case
14	le	DET	14	det
15	développement	NOUN	6	nmod
16	(	PUNCT	16	punct
17	CRID	PROPN	6	appos
18	)	PUNCT	16	punct
19	,	PUNCT	21	punct
20	de	ADP	21	case
21	la	DET	21	det
22	Plate-forme	NOUN	6	conj
23	française	ADJ	21	amod
24	pour	ADP	25	case
25	le	DET	25	det
26	commerce	NOUN	21	nmod
27	équitable	ADJ	25	amod
28	,	PUNCT	29	punct
29	de	ADP	29	case
30	NEWS	PROPN	6	conj
31	!	PUNCT	3	punct