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:
À Paris, Étienne Mollier va enfin explorer toutes les possibilités qu'offrent les domaines--qui le passionnent--de l'optique et de la photographie.
Postion	Tokenization
1	À
2	Paris
3	,
4	Étienne
5	Mollier
6	va
7	enfin
8	explorer
9	toutes
10	les
11	possibilités
12	qu'
13	offrent
14	les
15	domaines
16	--
17	qui
18	le
19	passionnent
20	--
21	de
22	l'
23	optique
24	et
25	de
26	la
27	photographie
28	.
Position	Tokenization	UPOS	Head	Deprel
1	À	ADP	2	case
2	Paris	PROPN	6	obl:mod
3	,	PUNCT	2	punct
4	Étienne	PROPN	6	nsubj
5	Mollier	PROPN	4	flat:name
6	va	VERB	0	root
7	enfin	ADV	6	advmod
8	explorer	VERB	6	xcomp:obj
9	toutes	ADJ	11	amod
10	les	DET	11	det
11	possibilités	NOUN	8	obj
12	qu'	PRON	13	obj
13	offrent	VERB	11	acl:relcl
14	les	DET	15	det
15	domaines	NOUN	13	nsubj
16	--	PUNCT	19	punct
17	qui	PRON	19	nsubj
18	le	PRON	19	obj
19	passionnent	VERB	15	acl:relcl
20	--	PUNCT	19	punct
21	de	ADP	23	case
22	l'	DET	23	det
23	optique	NOUN	15	nmod
24	et	CCONJ	27	cc
25	de	ADP	27	case
26	la	DET	27	det
27	photographie	NOUN	23	conj
28	.	PUNCT	6	punct