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:
Le tirage et l'étalonnage ont été extrêmement complexes compte tenu du nombre de pellicules utilisées puisque achetées au marché noir : 19 pellicules différentes, de la Rochester à l'Agfa en passant par la Kodak Vincennes et donc autant de bains différents et de temps de développement à calculer.
Postion	Tokenization
1	Le
2	tirage
3	et
4	l'
5	étalonnage
6	ont
7	été
8	extrêmement
9	complexes
10	compte
11	tenu
12	du
13	de
14	le
15	nombre
16	de
17	pellicules
18	utilisées
19	puisque
20	achetées
21	au
22	à
23	le
24	marché
25	noir
26	:
27	19
28	pellicules
29	différentes
30	,
31	de
32	la
33	Rochester
34	à
35	l'
36	Agfa
37	en
38	passant
39	par
40	la
41	Kodak
42	Vincennes
43	et
44	donc
45	autant
46	de
47	bains
48	différents
49	et
50	de
51	temps
52	de
53	développement
54	à
55	calculer
56	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	2	det
2	tirage	NOUN	9	nsubj
3	et	CCONJ	5	cc
4	l'	DET	5	det
5	étalonnage	NOUN	2	conj
6	ont	AUX	9	aux:tense
7	été	AUX	9	cop
8	extrêmement	ADV	9	advmod
9	complexes	ADJ	0	root
10	compte	NOUN	9	advmod
11	tenu	VERB	10	fixed
12	du	_	None	_
13	de	ADP	14	case
14	le	DET	14	det
15	nombre	NOUN	10	obl:arg
16	de	ADP	16	case
17	pellicules	NOUN	14	nmod
18	utilisées	VERB	16	acl
19	puisque	SCONJ	19	mark
20	achetées	VERB	9	advcl
21	au	_	None	_
22	à	ADP	22	case
23	le	DET	22	det
24	marché	NOUN	19	obl:mod
25	noir	ADJ	22	amod
26	:	PUNCT	26	punct
27	19	NUM	26	nummod
28	pellicules	NOUN	9	parataxis
29	différentes	ADJ	26	amod
30	,	PUNCT	31	punct
31	de	ADP	31	case
32	la	DET	31	det
33	Rochester	PROPN	26	nmod
34	à	ADP	34	case
35	l'	DET	34	det
36	Agfa	PROPN	31	nmod
37	en	ADP	36	mark
38	passant	VERB	26	acl
39	par	ADP	39	case
40	la	DET	39	det
41	Kodak	PROPN	36	obl:arg
42	Vincennes	PROPN	39	flat:name
43	et	CCONJ	43	cc
44	donc	ADV	43	advmod
45	autant	ADV	26	conj
46	de	ADP	45	case
47	bains	NOUN	43	dep:comp
48	différents	ADJ	45	amod
49	et	CCONJ	49	cc
50	de	ADP	49	case
51	temps	NOUN	45	conj
52	de	ADP	51	case
53	développement	NOUN	49	nmod
54	à	ADP	53	mark
55	calculer	VERB	49	acl
56	.	PUNCT	9	punct