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:
Cet exode massif a changé la vie à El Aaiun où, à titre d'exemple, certains collèges ont fermé pour manque d'élèves.
Postion	Tokenization
1	Cet
2	exode
3	massif
4	a
5	changé
6	la
7	vie
8	à
9	El
10	Aaiun
11	où
12	,
13	à
14	titre
15	d'
16	exemple
17	,
18	certains
19	collèges
20	ont
21	fermé
22	pour
23	manque
24	d'
25	élèves
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Cet	DET	2	det
2	exode	NOUN	5	nsubj
3	massif	ADJ	2	amod
4	a	AUX	5	aux:tense
5	changé	VERB	0	root
6	la	DET	7	det
7	vie	NOUN	5	obj
8	à	ADP	9	case
9	El	PROPN	7	nmod
10	Aaiun	PROPN	9	flat:name
11	où	ADV	21	advmod
12	,	PUNCT	14	punct
13	à	ADP	14	case
14	titre	NOUN	21	obl:mod
15	d'	ADP	16	case
16	exemple	NOUN	14	nmod
17	,	PUNCT	14	punct
18	certains	DET	19	det
19	collèges	NOUN	21	nsubj
20	ont	AUX	21	aux:tense
21	fermé	VERB	9	acl:relcl
22	pour	ADP	23	case
23	manque	NOUN	21	obl:mod
24	d'	ADP	25	case
25	élèves	NOUN	23	nmod
26	.	PUNCT	5	punct