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:
Les cinq jeux fonctionnent sur le même principe : il s'agit de jeux d'aventure à la première personne pour un seul joueur, dans lesquels le joueur explore des environnements en 3D, interagit avec les personnages, manipule des objets et résout des énigmes pour progresser dans l'histoire.
Postion	Tokenization
1	Les
2	cinq
3	jeux
4	fonctionnent
5	sur
6	le
7	même
8	principe
9	:
10	il
11	s'
12	agit
13	de
14	jeux
15	d'
16	aventure
17	à
18	la
19	première
20	personne
21	pour
22	un
23	seul
24	joueur
25	,
26	dans
27	lesquels
28	le
29	joueur
30	explore
31	des
32	environnements
33	en
34	3D
35	,
36	interagit
37	avec
38	les
39	personnages
40	,
41	manipule
42	des
43	objets
44	et
45	résout
46	des
47	énigmes
48	pour
49	progresser
50	dans
51	l'
52	histoire
53	.
Position	Tokenization	UPOS	Head	Deprel
1	Les	DET	3	det
2	cinq	NUM	3	nummod
3	jeux	NOUN	4	nsubj
4	fonctionnent	VERB	0	root
5	sur	ADP	8	case
6	le	DET	8	det
7	même	ADJ	8	amod
8	principe	NOUN	4	obl:mod
9	:	PUNCT	12	punct
10	il	PRON	12	expl:subj
11	s'	PRON	12	dep:comp
12	agit	VERB	4	parataxis
13	de	ADP	14	case
14	jeux	NOUN	12	obl:arg
15	d'	ADP	16	case
16	aventure	NOUN	14	nmod
17	à	ADP	20	case
18	la	DET	20	det
19	première	ADJ	20	amod
20	personne	NOUN	14	nmod
21	pour	ADP	24	case
22	un	DET	24	det
23	seul	ADJ	24	amod
24	joueur	NOUN	14	nmod
25	,	PUNCT	30	punct
26	dans	ADP	27	case
27	lesquels	PRON	30	obl:mod
28	le	DET	29	det
29	joueur	NOUN	30	nsubj
30	explore	VERB	14	acl:relcl
31	des	DET	32	det
32	environnements	NOUN	30	obj
33	en	ADP	34	case
34	3D	NOUN	32	nmod
35	,	PUNCT	36	punct
36	interagit	VERB	30	conj
37	avec	ADP	39	case
38	les	DET	39	det
39	personnages	NOUN	36	obl:arg
40	,	PUNCT	41	punct
41	manipule	VERB	30	conj
42	des	DET	43	det
43	objets	NOUN	41	obj
44	et	CCONJ	45	cc
45	résout	VERB	30	conj
46	des	DET	47	det
47	énigmes	NOUN	45	obj
48	pour	ADP	49	mark
49	progresser	VERB	45	advcl
50	dans	ADP	52	case
51	l'	DET	52	det
52	histoire	NOUN	49	obl:arg
53	.	PUNCT	4	punct