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:
Mais la zone éruptive la plus importante de la région et du Canada se situe au niveau du massif montagneux Level Mountain Range.
Postion	Tokenization
1	Mais
2	la
3	zone
4	éruptive
5	la
6	plus
7	importante
8	de
9	la
10	région
11	et
12	du
13	de
14	le
15	Canada
16	se
17	situe
18	au
19	à
20	le
21	niveau
22	du
23	de
24	le
25	massif
26	montagneux
27	Level
28	Mountain
29	Range
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Mais	CCONJ	16	cc
2	la	DET	3	det
3	zone	NOUN	16	nsubj:pass
4	éruptive	ADJ	3	amod
5	la	DET	7	advmod
6	plus	ADV	5	fixed
7	importante	ADJ	3	amod
8	de	ADP	10	case
9	la	DET	10	det
10	région	NOUN	3	nmod
11	et	CCONJ	14	cc
12	du	_	None	_
13	de	ADP	14	case
14	le	DET	14	det
15	Canada	PROPN	10	conj
16	se	PRON	16	expl:pass
17	situe	VERB	0	root
18	au	_	None	_
19	à	ADP	19	case
20	le	DET	19	det
21	niveau	NOUN	16	obl:arg
22	du	_	None	_
23	de	ADP	22	case
24	le	DET	22	det
25	massif	NOUN	19	nmod
26	montagneux	ADJ	22	amod
27	Level	PROPN	22	appos
28	Mountain	PROPN	24	flat:name
29	Range	PROPN	25	flat:name
30	.	PUNCT	16	punct