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:
Par extension, il est employé pour désigner un bogue dans un jeu vidéo, où un objet animé a un comportement erroné (par exemple : passage au travers des murs, « téléportation » inattendue), qui peut être exploité pour tricher ou pour finir un jeu le plus vite possible, comme dans les concours de speedrun et plus particulièrement ceux de tool-assisted speedrun.
Postion	Tokenization
1	Par
2	extension
3	,
4	il
5	est
6	employé
7	pour
8	désigner
9	un
10	bogue
11	dans
12	un
13	jeu
14	vidéo
15	,
16	où
17	un
18	objet
19	animé
20	a
21	un
22	comportement
23	erroné
24	(
25	par
26	exemple
27	:
28	passage
29	au
30	à
31	le
32	travers
33	des
34	de
35	les
36	murs
37	,
38	«
39	téléportation
40	»
41	inattendue
42	)
43	,
44	qui
45	peut
46	être
47	exploité
48	pour
49	tricher
50	ou
51	pour
52	finir
53	un
54	jeu
55	le
56	plus
57	vite
58	possible
59	,
60	comme
61	dans
62	les
63	concours
64	de
65	speedrun
66	et
67	plus
68	particulièrement
69	ceux
70	de
71	tool-assisted
72	speedrun
73	.
Position	Tokenization	UPOS	Head	Deprel
1	Par	ADP	2	case
2	extension	NOUN	6	obl:mod
3	,	PUNCT	2	punct
4	il	PRON	6	nsubj:pass
5	est	AUX	6	aux:pass
6	employé	VERB	0	root
7	pour	ADP	8	mark
8	désigner	VERB	6	advcl
9	un	DET	10	det
10	bogue	NOUN	8	obj
11	dans	ADP	13	case
12	un	DET	13	det
13	jeu	NOUN	8	obl:mod
14	vidéo	NOUN	13	appos
15	,	PUNCT	20	punct
16	où	ADV	20	advmod
17	un	DET	18	det
18	objet	NOUN	20	nsubj
19	animé	ADJ	18	amod
20	a	VERB	13	acl:relcl
21	un	DET	22	det
22	comportement	NOUN	20	obj
23	erroné	ADJ	22	amod
24	(	PUNCT	28	punct
25	par	ADP	28	advmod
26	exemple	NOUN	25	fixed
27	:	PUNCT	25	punct
28	passage	NOUN	22	appos
29	au	_	None	_
30	à	ADP	31	case
31	le	DET	31	det
32	travers	NOUN	28	nmod
33	des	_	None	_
34	de	ADP	34	case
35	les	DET	34	det
36	murs	NOUN	31	nmod
37	,	PUNCT	37	punct
38	«	PUNCT	37	punct
39	téléportation	NOUN	28	conj
40	»	PUNCT	37	punct
41	inattendue	ADJ	37	amod
42	)	PUNCT	28	punct
43	,	PUNCT	43	punct
44	qui	PRON	43	nsubj
45	peut	VERB	22	acl:relcl
46	être	AUX	45	aux:pass
47	exploité	VERB	43	xcomp:obj
48	pour	ADP	47	mark
49	tricher	VERB	45	advcl
50	ou	CCONJ	50	cc
51	pour	ADP	50	mark
52	finir	VERB	47	conj
53	un	DET	52	det
54	jeu	NOUN	50	obj
55	le	DET	55	advmod
56	plus	ADV	53	fixed
57	vite	ADV	50	advmod
58	possible	ADJ	55	advcl
59	,	PUNCT	61	punct
60	comme	SCONJ	61	mark
61	dans	ADP	61	case
62	les	DET	61	det
63	concours	NOUN	55	advcl
64	de	ADP	63	case
65	speedrun	NOUN	61	nmod
66	et	CCONJ	67	cc
67	plus	ADV	66	advmod
68	particulièrement	ADV	67	advmod
69	ceux	PRON	61	conj
70	de	ADP	69	case
71	tool-assisted	X	67	nmod
72	speedrun	X	69	flat:foreign
73	.	PUNCT	6	punct