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:
Le nettoyage a alors commencé, mais des pans entiers de New York, notamment à Brooklyn (sud-est), au Queens (est) ou dans le Bronx (nord), n'avaient toujours pas vu de chasse-neige mardi soir.
Postion	Tokenization
1	Le
2	nettoyage
3	a
4	alors
5	commencé
6	,
7	mais
8	des
9	pans
10	entiers
11	de
12	New
13	York
14	,
15	notamment
16	à
17	Brooklyn
18	(
19	sud-est
20	)
21	,
22	au
23	à
24	le
25	Queens
26	(
27	est
28	)
29	ou
30	dans
31	le
32	Bronx
33	(
34	nord
35	)
36	,
37	n'
38	avaient
39	toujours
40	pas
41	vu
42	de
43	chasse-neige
44	mardi
45	soir
46	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	2	det
2	nettoyage	NOUN	5	nsubj
3	a	AUX	5	aux:tense
4	alors	ADV	5	advmod
5	commencé	VERB	0	root
6	,	PUNCT	40	punct
7	mais	CCONJ	40	cc
8	des	DET	9	det
9	pans	NOUN	40	nsubj
10	entiers	ADJ	9	amod
11	de	ADP	12	case
12	New	PROPN	9	nmod
13	York	PROPN	12	flat:name
14	,	PUNCT	17	punct
15	notamment	ADV	17	advmod
16	à	ADP	17	case
17	Brooklyn	PROPN	9	nmod
18	(	PUNCT	19	punct
19	sud-est	NOUN	17	appos
20	)	PUNCT	19	punct
21	,	PUNCT	24	punct
22	au	_	None	_
23	à	ADP	24	case
24	le	DET	24	det
25	Queens	PROPN	17	conj
26	(	PUNCT	26	punct
27	est	NOUN	24	appos
28	)	PUNCT	26	punct
29	ou	CCONJ	31	cc
30	dans	ADP	31	case
31	le	DET	31	det
32	Bronx	PROPN	17	conj
33	(	PUNCT	33	punct
34	nord	NOUN	31	appos
35	)	PUNCT	33	punct
36	,	PUNCT	17	punct
37	n'	ADV	40	advmod
38	avaient	AUX	40	aux:tense
39	toujours	ADV	39	advmod
40	pas	ADV	40	advmod
41	vu	VERB	5	conj
42	de	DET	42	det
43	chasse-neige	NOUN	40	obj
44	mardi	NOUN	40	obl:mod
45	soir	NOUN	43	nmod
46	.	PUNCT	5	punct