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:
Intéressé par les idées de la Nouvelle Droite, Jean-Louis Foncine était membre du GRECE, à plusieurs colloques duquel il a participé.
Postion	Tokenization
1	Intéressé
2	par
3	les
4	idées
5	de
6	la
7	Nouvelle
8	Droite
9	,
10	Jean-Louis
11	Foncine
12	était
13	membre
14	du
15	de
16	le
17	GRECE
18	,
19	à
20	plusieurs
21	colloques
22	duquel
23	de
24	lequel
25	il
26	a
27	participé
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Intéressé	VERB	13	advcl
2	par	ADP	4	case
3	les	DET	4	det
4	idées	NOUN	1	obl:agent
5	de	ADP	8	case
6	la	DET	8	det
7	Nouvelle	ADJ	8	amod
8	Droite	NOUN	4	nmod
9	,	PUNCT	1	punct
10	Jean-Louis	PROPN	13	nsubj
11	Foncine	PROPN	10	flat:name
12	était	AUX	13	cop
13	membre	NOUN	0	root
14	du	_	None	_
15	de	ADP	16	case
16	le	DET	16	det
17	GRECE	PROPN	13	nmod
18	,	PUNCT	25	punct
19	à	ADP	20	case
20	plusieurs	DET	20	det
21	colloques	NOUN	25	obl:mod
22	duquel	_	None	_
23	de	ADP	22	case
24	lequel	PRON	20	nmod
25	il	PRON	25	nsubj
26	a	AUX	25	aux:tense
27	participé	VERB	16	acl:relcl
28	.	PUNCT	13	punct