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:
Moi plus je vois des vidéos de ce jeu, plus je me dis que Battlefield 3 sera THE GAME pour les vrais soldats qui en ont dans le slip.
Postion	Tokenization
1	Moi
2	plus
3	je
4	vois
5	des
6	vidéos
7	de
8	ce
9	jeu
10	,
11	plus
12	je
13	me
14	dis
15	que
16	Battlefield
17	3
18	sera
19	THE
20	GAME
21	pour
22	les
23	vrais
24	soldats
25	qui
26	en
27	ont
28	dans
29	le
30	slip
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Moi	PRON	4	dislocated
2	plus	ADV	4	advmod
3	je	PRON	4	nsubj
4	vois	VERB	0	root
5	des	DET	6	det
6	vidéos	NOUN	4	obj
7	de	ADP	9	case
8	ce	DET	9	det
9	jeu	NOUN	6	nmod
10	,	PUNCT	14	punct
11	plus	ADV	14	advmod
12	je	PRON	14	nsubj
13	me	PRON	14	obl:arg
14	dis	VERB	4	conj
15	que	SCONJ	19	mark
16	Battlefield	PROPN	19	nsubj
17	3	NUM	16	nmod
18	sera	AUX	19	cop
19	THE	X	14	ccomp:obj
20	GAME	X	19	flat:name
21	pour	ADP	24	case
22	les	DET	24	det
23	vrais	ADJ	24	amod
24	soldats	NOUN	19	obl:mod
25	qui	PRON	27	nsubj
26	en	PRON	27	obj
27	ont	VERB	24	acl:relcl
28	dans	ADP	30	case
29	le	DET	30	det
30	slip	NOUN	27	obl:mod
31	.	PUNCT	4	punct