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:
Sellal a exprimé sa satisfaction sur le niveau des ressources hydriques mobilisées qui devrait atteindre 9,1 milliards de m3 en 2014--Il est aujourd'hui de 7,1 milliards de m3.
Postion	Tokenization
1	Sellal
2	a
3	exprimé
4	sa
5	satisfaction
6	sur
7	le
8	niveau
9	des
10	de
11	les
12	ressources
13	hydriques
14	mobilisées
15	qui
16	devrait
17	atteindre
18	9,1
19	milliards
20	de
21	m3
22	en
23	2014
24	--
25	Il
26	est
27	aujourd'hui
28	de
29	7,1
30	milliards
31	de
32	m3
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Sellal	PROPN	3	nsubj
2	a	AUX	3	aux:tense
3	exprimé	VERB	0	root
4	sa	DET	5	det
5	satisfaction	NOUN	3	obj
6	sur	ADP	8	case
7	le	DET	8	det
8	niveau	NOUN	5	nmod
9	des	_	None	_
10	de	ADP	11	case
11	les	DET	11	det
12	ressources	NOUN	8	nmod
13	hydriques	ADJ	11	amod
14	mobilisées	VERB	11	acl
15	qui	PRON	15	nsubj
16	devrait	VERB	8	acl:relcl
17	atteindre	VERB	15	xcomp:obj
18	9,1	NUM	18	nummod
19	milliards	NOUN	16	obj
20	de	ADP	20	case
21	m3	NOUN	18	nmod
22	en	ADP	22	case
23	2014	NUM	16	obl:mod
24	--	PUNCT	29	punct
25	Il	PRON	29	nsubj
26	est	AUX	29	cop
27	aujourd'hui	ADV	29	advmod
28	de	ADP	29	case
29	7,1	NUM	29	nummod
30	milliards	NOUN	3	parataxis
31	de	ADP	31	case
32	m3	NOUN	29	nmod
33	.	PUNCT	3	punct