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:
Notre expérience dans le domaine du destockage vous assure la réalisation de vos invendus dans les meilleures conditions financières tout en préservant votre image et votre réseau de distribution.
Postion	Tokenization
1	Notre
2	expérience
3	dans
4	le
5	domaine
6	du
7	de
8	le
9	destockage
10	vous
11	assure
12	la
13	réalisation
14	de
15	vos
16	invendus
17	dans
18	les
19	meilleures
20	conditions
21	financières
22	tout
23	en
24	préservant
25	votre
26	image
27	et
28	votre
29	réseau
30	de
31	distribution
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Notre	DET	2	det
2	expérience	NOUN	10	nsubj
3	dans	ADP	5	case
4	le	DET	5	det
5	domaine	NOUN	2	nmod
6	du	_	None	_
7	de	ADP	8	case
8	le	DET	8	det
9	destockage	NOUN	5	nmod
10	vous	PRON	10	obl:arg
11	assure	VERB	0	root
12	la	DET	12	det
13	réalisation	NOUN	10	obj
14	de	ADP	15	case
15	vos	DET	15	det
16	invendus	NOUN	12	nmod
17	dans	ADP	19	case
18	les	DET	19	det
19	meilleures	ADJ	19	amod
20	conditions	NOUN	10	obl:mod
21	financières	ADJ	19	amod
22	tout	ADV	23	mark
23	en	ADP	21	fixed
24	préservant	VERB	10	advcl
25	votre	DET	25	det
26	image	NOUN	23	obj
27	et	CCONJ	28	cc
28	votre	DET	28	det
29	réseau	NOUN	25	conj
30	de	ADP	30	case
31	distribution	NOUN	28	nmod
32	.	PUNCT	10	punct