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:
Un mètre de neige poudreuse et très adhérente s'est abattu sur l'agglomération, paralysant pendant plusieurs jours l'économie et la vie du Piton.
Postion	Tokenization
1	Un
2	mètre
3	de
4	neige
5	poudreuse
6	et
7	très
8	adhérente
9	s'
10	est
11	abattu
12	sur
13	l'
14	agglomération
15	,
16	paralysant
17	pendant
18	plusieurs
19	jours
20	l'
21	économie
22	et
23	la
24	vie
25	du
26	de
27	le
28	Piton
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Un	DET	2	det
2	mètre	NOUN	11	nsubj
3	de	ADP	4	case
4	neige	NOUN	2	nmod
5	poudreuse	ADJ	4	amod
6	et	CCONJ	8	cc
7	très	ADV	8	advmod
8	adhérente	ADJ	5	conj
9	s'	PRON	11	dep:comp
10	est	AUX	11	aux:tense
11	abattu	VERB	0	root
12	sur	ADP	14	case
13	l'	DET	14	det
14	agglomération	NOUN	11	obl:mod
15	,	PUNCT	16	punct
16	paralysant	VERB	11	advcl
17	pendant	ADP	19	case
18	plusieurs	DET	19	det
19	jours	NOUN	16	obl:mod
20	l'	DET	21	det
21	économie	NOUN	16	obj
22	et	CCONJ	24	cc
23	la	DET	24	det
24	vie	NOUN	21	conj
25	du	_	None	_
26	de	ADP	27	case
27	le	DET	27	det
28	Piton	PROPN	24	nmod
29	.	PUNCT	11	punct