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:
L'expertise des bijoux a été effectuée soigneusement, pour les débris d'or le prix m'a été proposé de manière objective après consultation des divers cours du jour par la patronne.
Postion	Tokenization
1	L'
2	expertise
3	des
4	de
5	les
6	bijoux
7	a
8	été
9	effectuée
10	soigneusement
11	,
12	pour
13	les
14	débris
15	d'
16	or
17	le
18	prix
19	m'
20	a
21	été
22	proposé
23	de
24	manière
25	objective
26	après
27	consultation
28	des
29	de
30	les
31	divers
32	cours
33	du
34	de
35	le
36	jour
37	par
38	la
39	patronne
40	.
Position	Tokenization	UPOS	Head	Deprel
1	L'	DET	2	det
2	expertise	NOUN	8	nsubj:pass
3	des	_	None	_
4	de	ADP	5	case
5	les	DET	5	det
6	bijoux	NOUN	2	nmod
7	a	AUX	8	aux:tense
8	été	AUX	8	aux:pass
9	effectuée	VERB	0	root
10	soigneusement	ADV	8	advmod
11	,	PUNCT	21	punct
12	pour	ADP	13	case
13	les	DET	13	det
14	débris	NOUN	21	obl:mod
15	d'	ADP	15	case
16	or	NOUN	13	nmod
17	le	DET	17	det
18	prix	NOUN	21	nsubj:pass
19	m'	PRON	21	obl:arg
20	a	AUX	21	aux:tense
21	été	AUX	21	aux:pass
22	proposé	VERB	8	conj
23	de	ADP	23	case
24	manière	NOUN	21	obl:mod
25	objective	ADJ	23	amod
26	après	ADP	26	case
27	consultation	NOUN	21	obl:mod
28	des	_	None	_
29	de	ADP	30	case
30	les	DET	30	det
31	divers	ADJ	30	amod
32	cours	NOUN	26	nmod
33	du	_	None	_
34	de	ADP	33	case
35	le	DET	33	det
36	jour	NOUN	30	nmod
37	par	ADP	36	case
38	la	DET	36	det
39	patronne	NOUN	26	nmod
40	.	PUNCT	8	punct