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:
Le tableau suivant donne la liste des communes de la wilaya de Blida, en précisant pour chaque commune : son code ONS, son nom et sa population en 2008.
Postion	Tokenization
1	Le
2	tableau
3	suivant
4	donne
5	la
6	liste
7	des
8	de
9	les
10	communes
11	de
12	la
13	wilaya
14	de
15	Blida
16	,
17	en
18	précisant
19	pour
20	chaque
21	commune
22	:
23	son
24	code
25	ONS
26	,
27	son
28	nom
29	et
30	sa
31	population
32	en
33	2008
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	2	det
2	tableau	NOUN	4	nsubj
3	suivant	ADJ	2	amod
4	donne	VERB	0	root
5	la	DET	6	det
6	liste	NOUN	4	obj
7	des	_	None	_
8	de	ADP	9	case
9	les	DET	9	det
10	communes	NOUN	6	nmod
11	de	ADP	12	case
12	la	DET	12	det
13	wilaya	NOUN	9	nmod
14	de	ADP	14	case
15	Blida	PROPN	12	nmod
16	,	PUNCT	17	punct
17	en	ADP	17	mark
18	précisant	VERB	4	advcl
19	pour	ADP	20	case
20	chaque	DET	20	det
21	commune	NOUN	17	obl:mod
22	:	PUNCT	23	punct
23	son	DET	23	det
24	code	NOUN	17	obj
25	ONS	NOUN	23	appos
26	,	PUNCT	27	punct
27	son	DET	27	det
28	nom	NOUN	23	conj
29	et	CCONJ	30	cc
30	sa	DET	30	det
31	population	NOUN	23	conj
32	en	ADP	32	case
33	2008	NUM	30	nmod
34	.	PUNCT	4	punct