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:
Il n'a pas d'influence sur les courants mais peut provoquer une importante montée du niveau de la mer et occasionner de violentes tempêtes sur la côte.
Postion	Tokenization
1	Il
2	n'
3	a
4	pas
5	d'
6	influence
7	sur
8	les
9	courants
10	mais
11	peut
12	provoquer
13	une
14	importante
15	montée
16	du
17	de
18	le
19	niveau
20	de
21	la
22	mer
23	et
24	occasionner
25	de
26	violentes
27	tempêtes
28	sur
29	la
30	côte
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Il	PRON	3	nsubj
2	n'	ADV	3	advmod
3	a	VERB	0	root
4	pas	ADV	3	advmod
5	d'	DET	6	det
6	influence	NOUN	3	obj
7	sur	ADP	9	case
8	les	DET	9	det
9	courants	NOUN	3	obl:mod
10	mais	CCONJ	11	cc
11	peut	VERB	3	conj
12	provoquer	VERB	11	xcomp:obj
13	une	DET	15	det
14	importante	ADJ	15	amod
15	montée	NOUN	12	obj
16	du	_	None	_
17	de	ADP	18	case
18	le	DET	18	det
19	niveau	NOUN	15	nmod
20	de	ADP	21	case
21	la	DET	21	det
22	mer	NOUN	18	nmod
23	et	CCONJ	23	cc
24	occasionner	VERB	12	conj
25	de	DET	26	det
26	violentes	ADJ	26	amod
27	tempêtes	NOUN	23	obj
28	sur	ADP	29	case
29	la	DET	29	det
30	côte	NOUN	23	obl:mod
31	.	PUNCT	3	punct