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:
Positif : bien placé près de Bercy et des métros, équipements récents Négatif : les toilettes étaient sales et malgré notre demande rien n'avait été fait le lendemain.
Postion	Tokenization
1	Positif
2	:
3	bien
4	placé
5	près
6	de
7	Bercy
8	et
9	des
10	de
11	les
12	métros
13	,
14	équipements
15	récents
16	Négatif
17	:
18	les
19	toilettes
20	étaient
21	sales
22	et
23	malgré
24	notre
25	demande
26	rien
27	n'
28	avait
29	été
30	fait
31	le
32	lendemain
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Positif	NOUN	0	root
2	:	PUNCT	4	punct
3	bien	ADV	4	advmod
4	placé	VERB	1	parataxis
5	près	ADV	4	advmod
6	de	ADP	7	case
7	Bercy	PROPN	5	obl:arg
8	et	CCONJ	11	cc
9	des	_	None	_
10	de	ADP	11	case
11	les	DET	11	det
12	métros	NOUN	7	conj
13	,	PUNCT	13	punct
14	équipements	NOUN	4	conj
15	récents	ADJ	13	amod
16	Négatif	NOUN	1	parataxis
17	:	PUNCT	20	punct
18	les	DET	18	det
19	toilettes	NOUN	20	nsubj
20	étaient	AUX	20	cop
21	sales	ADJ	15	parataxis
22	et	CCONJ	29	cc
23	malgré	ADP	24	case
24	notre	DET	24	det
25	demande	NOUN	29	obl:mod
26	rien	PRON	29	nsubj:pass
27	n'	ADV	29	advmod
28	avait	AUX	29	aux:tense
29	été	AUX	29	aux:pass
30	fait	VERB	20	conj
31	le	DET	31	det
32	lendemain	NOUN	29	obl:mod
33	.	PUNCT	1	punct