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:
Connu plus particulièrement par son essai La Nouvelle Fiction, éditions Criterion publié ensuite aux éditions Fayard où il rassembla des romanciers inspirés par une façon singulière d'utiliser la fiction en la détournant de ses moyens et de ses buts habituels : François Coupry, Hubert Haddad, Frédérick Tristan, Jean Lévy classés parfois comme romanciers postmodernes.
Postion	Tokenization
1	Connu
2	plus
3	particulièrement
4	par
5	son
6	essai
7	La
8	Nouvelle
9	Fiction
10	,
11	éditions
12	Criterion
13	publié
14	ensuite
15	aux
16	à
17	les
18	éditions
19	Fayard
20	où
21	il
22	rassembla
23	des
24	romanciers
25	inspirés
26	par
27	une
28	façon
29	singulière
30	d'
31	utiliser
32	la
33	fiction
34	en
35	la
36	détournant
37	de
38	ses
39	moyens
40	et
41	de
42	ses
43	buts
44	habituels
45	:
46	François
47	Coupry
48	,
49	Hubert
50	Haddad
51	,
52	Frédérick
53	Tristan
54	,
55	Jean
56	Lévy
57	classés
58	parfois
59	comme
60	romanciers
61	postmodernes
62	.
Position	Tokenization	UPOS	Head	Deprel
1	Connu	VERB	0	root
2	plus	ADV	3	advmod
3	particulièrement	ADV	1	advmod
4	par	ADP	6	case
5	son	DET	6	det
6	essai	NOUN	1	obl:arg
7	La	DET	9	det
8	Nouvelle	ADJ	9	amod
9	Fiction	NOUN	6	appos
10	,	PUNCT	11	punct
11	éditions	NOUN	6	appos
12	Criterion	PROPN	11	appos
13	publié	VERB	6	acl
14	ensuite	ADV	13	advmod
15	aux	_	None	_
16	à	ADP	17	case
17	les	DET	17	det
18	éditions	NOUN	13	obl:arg
19	Fayard	PROPN	17	appos
20	où	ADV	21	advmod
21	il	PRON	21	nsubj
22	rassembla	VERB	17	acl:relcl
23	des	DET	23	det
24	romanciers	NOUN	21	obj
25	inspirés	VERB	23	acl
26	par	ADP	27	case
27	une	DET	27	det
28	façon	NOUN	24	obl:agent
29	singulière	ADJ	27	amod
30	d'	ADP	30	mark
31	utiliser	VERB	27	acl
32	la	DET	32	det
33	fiction	NOUN	30	obj
34	en	ADP	35	mark
35	la	PRON	35	obj
36	détournant	VERB	30	advcl
37	de	ADP	38	case
38	ses	DET	38	det
39	moyens	NOUN	35	obl:arg
40	et	CCONJ	42	cc
41	de	ADP	42	case
42	ses	DET	42	det
43	buts	NOUN	38	conj
44	habituels	ADJ	42	amod
45	:	PUNCT	45	punct
46	François	PROPN	23	appos
47	Coupry	PROPN	45	flat:name
48	,	PUNCT	48	punct
49	Hubert	PROPN	45	conj
50	Haddad	PROPN	48	flat:name
51	,	PUNCT	51	punct
52	Frédérick	PROPN	45	conj
53	Tristan	PROPN	51	flat:name
54	,	PUNCT	54	punct
55	Jean	PROPN	45	conj
56	Lévy	PROPN	54	flat:name
57	classés	VERB	23	acl
58	parfois	ADV	56	advmod
59	comme	ADP	59	case
60	romanciers	NOUN	56	obl:mod
61	postmodernes	ADJ	59	amod
62	.	PUNCT	1	punct