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:
C'est notamment lui qui lui présentera le photographe et galeriste Paul Facchetti qui la fera rentrer dans son écurie de peintres et de sculpteurs.
Postion	Tokenization
1	C'
2	est
3	notamment
4	lui
5	qui
6	lui
7	présentera
8	le
9	photographe
10	et
11	galeriste
12	Paul
13	Facchetti
14	qui
15	la
16	fera
17	rentrer
18	dans
19	son
20	écurie
21	de
22	peintres
23	et
24	de
25	sculpteurs
26	.
Position	Tokenization	UPOS	Head	Deprel
1	C'	PRON	4	expl:subj
2	est	AUX	4	cop
3	notamment	ADV	4	advmod
4	lui	PRON	0	root
5	qui	PRON	7	nsubj
6	lui	PRON	7	obl:arg
7	présentera	VERB	4	advcl:cleft
8	le	DET	9	det
9	photographe	NOUN	7	obj
10	et	CCONJ	11	cc
11	galeriste	NOUN	9	conj
12	Paul	PROPN	9	appos
13	Facchetti	PROPN	12	flat:name
14	qui	PRON	17	nsubj:caus
15	la	PRON	17	obj:agent
16	fera	AUX	17	aux:caus
17	rentrer	VERB	9	acl:relcl
18	dans	ADP	20	case
19	son	DET	20	det
20	écurie	NOUN	17	obl:arg
21	de	ADP	22	case
22	peintres	NOUN	20	nmod
23	et	CCONJ	25	cc
24	de	ADP	25	case
25	sculpteurs	NOUN	22	conj
26	.	PUNCT	4	punct