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:
On l'a utilisé notamment pour l'autoroute A7 et surtout pour le canal EDF, qui s'éloigne de la Durance à Mallemort et se jette dans l'étang de Berre.
Postion	Tokenization
1	On
2	l'
3	a
4	utilisé
5	notamment
6	pour
7	l'
8	autoroute
9	A7
10	et
11	surtout
12	pour
13	le
14	canal
15	EDF
16	,
17	qui
18	s'
19	éloigne
20	de
21	la
22	Durance
23	à
24	Mallemort
25	et
26	se
27	jette
28	dans
29	l'
30	étang
31	de
32	Berre
33	.
Position	Tokenization	UPOS	Head	Deprel
1	On	PRON	4	nsubj
2	l'	PRON	4	obj
3	a	AUX	4	aux:tense
4	utilisé	VERB	0	root
5	notamment	ADV	4	advmod
6	pour	ADP	8	case
7	l'	DET	8	det
8	autoroute	NOUN	4	obl:mod
9	A7	X	8	appos
10	et	CCONJ	14	cc
11	surtout	ADV	14	advmod
12	pour	ADP	14	case
13	le	DET	14	det
14	canal	NOUN	8	conj
15	EDF	PROPN	14	appos
16	,	PUNCT	19	punct
17	qui	PRON	19	nsubj
18	s'	PRON	19	obj
19	éloigne	VERB	14	acl:relcl
20	de	ADP	22	case
21	la	DET	22	det
22	Durance	PROPN	19	obl:arg
23	à	ADP	24	case
24	Mallemort	PROPN	19	obl:mod
25	et	CCONJ	27	cc
26	se	PRON	27	dep:comp
27	jette	VERB	19	conj
28	dans	ADP	30	case
29	l'	DET	30	det
30	étang	NOUN	27	obl:arg
31	de	ADP	32	case
32	Berre	PROPN	30	nmod
33	.	PUNCT	4	punct