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:
Bien que la méthodologie s'applique aux deux types de hacking, cet article se concentre sur le "hacking créatif" tel que l'édition des niveaux d'un jeu.
Postion	Tokenization
1	Bien
2	que
3	la
4	méthodologie
5	s'
6	applique
7	aux
8	à
9	les
10	deux
11	types
12	de
13	hacking
14	,
15	cet
16	article
17	se
18	concentre
19	sur
20	le
21	"
22	hacking
23	créatif
24	"
25	tel
26	que
27	l'
28	édition
29	des
30	de
31	les
32	niveaux
33	d'
34	un
35	jeu
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Bien	ADV	6	mark
2	que	SCONJ	1	fixed
3	la	DET	4	det
4	méthodologie	NOUN	6	nsubj:pass
5	s'	PRON	6	expl:pass
6	applique	VERB	17	advcl
7	aux	_	None	_
8	à	ADP	10	case
9	les	DET	10	det
10	deux	NUM	10	nummod
11	types	NOUN	6	obl:arg
12	de	ADP	12	case
13	hacking	NOUN	10	nmod
14	,	PUNCT	6	punct
15	cet	DET	15	det
16	article	NOUN	17	nsubj:pass
17	se	PRON	17	expl:pass
18	concentre	VERB	0	root
19	sur	ADP	21	case
20	le	DET	21	det
21	"	PUNCT	21	punct
22	hacking	NOUN	17	obl:mod
23	créatif	ADJ	21	amod
24	"	PUNCT	21	punct
25	tel	ADJ	21	amod
26	que	SCONJ	27	case
27	l'	DET	27	det
28	édition	NOUN	24	obj
29	des	_	None	_
30	de	ADP	30	case
31	les	DET	30	det
32	niveaux	NOUN	27	nmod
33	d'	ADP	33	case
34	un	DET	33	det
35	jeu	NOUN	30	nmod
36	.	PUNCT	17	punct