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:
Elle se dote notamment de grands classiques du cinéma français et américain ainsi que d'un fonds important de cinéma soviétique.
Postion	Tokenization
1	Elle
2	se
3	dote
4	notamment
5	de
6	grands
7	classiques
8	du
9	de
10	le
11	cinéma
12	français
13	et
14	américain
15	ainsi
16	que
17	d'
18	un
19	fonds
20	important
21	de
22	cinéma
23	soviétique
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Elle	PRON	3	nsubj
2	se	PRON	3	obj
3	dote	VERB	0	root
4	notamment	ADV	3	advmod
5	de	ADP	7	case
6	grands	ADJ	7	amod
7	classiques	NOUN	3	obl:arg
8	du	_	None	_
9	de	ADP	10	case
10	le	DET	10	det
11	cinéma	NOUN	7	nmod
12	français	ADJ	10	amod
13	et	CCONJ	13	cc
14	américain	ADJ	11	conj
15	ainsi	ADV	18	cc
16	que	SCONJ	14	fixed
17	d'	ADP	18	case
18	un	DET	18	det
19	fonds	NOUN	10	conj
20	important	ADJ	18	amod
21	de	ADP	21	case
22	cinéma	NOUN	18	nmod
23	soviétique	ADJ	21	amod
24	.	PUNCT	3	punct