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:
Voilà enfin une dizaine de communes du sud de la wilaya de Tizi Ouzou, et donc des dizaines de milliers d'habitants qui vont avoir accès à l'eau potable après des années d'attente !
Postion	Tokenization
1	Voilà
2	enfin
3	une
4	dizaine
5	de
6	communes
7	du
8	de
9	le
10	sud
11	de
12	la
13	wilaya
14	de
15	Tizi
16	Ouzou
17	,
18	et
19	donc
20	des
21	dizaines
22	de
23	milliers
24	d'
25	habitants
26	qui
27	vont
28	avoir
29	accès
30	à
31	l'
32	eau
33	potable
34	après
35	des
36	années
37	d'
38	attente
39	!
Position	Tokenization	UPOS	Head	Deprel
1	Voilà	VERB	0	root
2	enfin	ADV	1	advmod
3	une	NUM	4	nummod
4	dizaine	NOUN	1	obj
5	de	ADP	6	case
6	communes	NOUN	4	nmod
7	du	_	None	_
8	de	ADP	9	case
9	le	DET	9	det
10	sud	NOUN	6	nmod
11	de	ADP	12	case
12	la	DET	12	det
13	wilaya	NOUN	9	nmod
14	de	ADP	14	case
15	Tizi	PROPN	12	nmod
16	Ouzou	PROPN	14	flat:name
17	,	PUNCT	20	punct
18	et	CCONJ	20	cc
19	donc	ADV	20	advmod
20	des	DET	20	det
21	dizaines	NOUN	6	conj
22	de	ADP	22	case
23	milliers	NOUN	20	nmod
24	d'	ADP	24	case
25	habitants	NOUN	22	nmod
26	qui	PRON	26	nsubj
27	vont	VERB	24	acl:relcl
28	avoir	VERB	26	xcomp:obj
29	accès	NOUN	27	obj:lvc
30	à	ADP	31	case
31	l'	DET	31	det
32	eau	NOUN	28	dep:comp
33	potable	ADJ	31	amod
34	après	ADP	35	case
35	des	DET	35	det
36	années	NOUN	27	obl:mod
37	d'	ADP	37	case
38	attente	NOUN	35	nmod
39	!	PUNCT	1	punct