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:
Et ce n'est pas tout, la première bande-annonce du film réalisé par Christopher Nolan sera quant à elle diffusée au cinéma durant les projections de "Sherlock Holmes 2 : Jeu d'Ombres" de Guy Ritchie qui débarquera en salles le 21 décembre !
Postion	Tokenization
1	Et
2	ce
3	n'
4	est
5	pas
6	tout
7	,
8	la
9	première
10	bande-annonce
11	du
12	de
13	le
14	film
15	réalisé
16	par
17	Christopher
18	Nolan
19	sera
20	quant
21	à
22	elle
23	diffusée
24	au
25	à
26	le
27	cinéma
28	durant
29	les
30	projections
31	de
32	"
33	Sherlock
34	Holmes
35	2
36	:
37	Jeu
38	d'
39	Ombres
40	"
41	de
42	Guy
43	Ritchie
44	qui
45	débarquera
46	en
47	salles
48	le
49	21
50	décembre
51	!
Position	Tokenization	UPOS	Head	Deprel
1	Et	CCONJ	6	cc
2	ce	PRON	6	nsubj
3	n'	ADV	6	advmod
4	est	AUX	6	cop
5	pas	ADV	6	advmod
6	tout	PRON	0	root
7	,	PUNCT	22	punct
8	la	DET	10	det
9	première	ADJ	10	amod
10	bande-annonce	NOUN	22	nsubj:pass
11	du	_	None	_
12	de	ADP	13	case
13	le	DET	13	det
14	film	NOUN	10	nmod
15	réalisé	VERB	13	acl
16	par	ADP	16	case
17	Christopher	PROPN	14	obl:agent
18	Nolan	PROPN	16	flat:name
19	sera	AUX	22	aux:pass
20	quant	ADV	21	case
21	à	ADP	19	fixed
22	elle	PRON	22	obl:mod
23	diffusée	VERB	6	parataxis
24	au	_	None	_
25	à	ADP	25	case
26	le	DET	25	det
27	cinéma	NOUN	22	obl:arg
28	durant	ADP	28	case
29	les	DET	28	det
30	projections	NOUN	22	obl:mod
31	de	ADP	31	case
32	"	PUNCT	31	punct
33	Sherlock	PROPN	28	nmod
34	Holmes	PROPN	31	flat:name
35	2	NUM	31	nmod
36	:	PUNCT	35	punct
37	Jeu	NOUN	31	parataxis
38	d'	ADP	37	case
39	Ombres	NOUN	35	nmod
40	"	PUNCT	31	punct
41	de	ADP	40	case
42	Guy	PROPN	31	nmod
43	Ritchie	PROPN	40	flat:name
44	qui	PRON	43	nsubj
45	débarquera	VERB	31	acl:relcl
46	en	ADP	45	case
47	salles	NOUN	43	obl:mod
48	le	DET	47	det
49	21	NUM	43	obl:mod
50	décembre	NOUN	47	nmod
51	!	PUNCT	6	punct