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:
Holden McNeil a co-créé avec son ami Banky Edwards le comic book Bluntman & Chronic, qui met en scène deux super-héros inspirés des dealers Jay & Silent Bob.
Postion	Tokenization
1	Holden
2	McNeil
3	a
4	co-créé
5	avec
6	son
7	ami
8	Banky
9	Edwards
10	le
11	comic
12	book
13	Bluntman
14	&
15	Chronic
16	,
17	qui
18	met
19	en
20	scène
21	deux
22	super-héros
23	inspirés
24	des
25	de
26	les
27	dealers
28	Jay
29	&
30	Silent
31	Bob
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Holden	PROPN	4	nsubj
2	McNeil	PROPN	1	flat:name
3	a	AUX	4	aux:tense
4	co-créé	VERB	0	root
5	avec	ADP	7	case
6	son	DET	7	det
7	ami	NOUN	4	obl:mod
8	Banky	PROPN	7	appos
9	Edwards	PROPN	8	flat:name
10	le	DET	11	det
11	comic	X	4	obj
12	book	X	11	flat:name
13	Bluntman	X	12	flat:name
14	&	SYM	13	flat:name
15	Chronic	X	14	flat:name
16	,	PUNCT	18	punct
17	qui	PRON	18	nsubj
18	met	VERB	11	acl:relcl
19	en	ADP	20	case
20	scène	NOUN	18	obl:mod
21	deux	NUM	22	nummod
22	super-héros	NOUN	18	obj
23	inspirés	VERB	22	acl
24	des	_	None	_
25	de	ADP	26	case
26	les	DET	26	det
27	dealers	NOUN	23	obl:arg
28	Jay	PROPN	26	appos
29	&	SYM	29	cc
30	Silent	PROPN	27	conj
31	Bob	PROPN	29	flat:name
32	.	PUNCT	4	punct