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:
"Les écoles sont fermées, la plupart des boutiques le sont aussi, Deraa ressemble à une ville fantôme", a-t-elle ajouté.
Postion	Tokenization
1	"
2	Les
3	écoles
4	sont
5	fermées
6	,
7	la
8	plupart
9	des
10	de
11	les
12	boutiques
13	le
14	sont
15	aussi
16	,
17	Deraa
18	ressemble
19	à
20	une
21	ville
22	fantôme
23	"
24	,
25	a
26	-t
27	-elle
28	ajouté
29	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	5	punct
2	Les	DET	3	det
3	écoles	NOUN	5	nsubj
4	sont	AUX	5	cop
5	fermées	ADJ	0	root
6	,	PUNCT	12	punct
7	la	DET	8	det
8	plupart	NOUN	12	nsubj
9	des	_	None	_
10	de	ADP	11	case
11	les	DET	11	det
12	boutiques	NOUN	8	nmod
13	le	PRON	5	conj
14	sont	AUX	12	cop
15	aussi	ADV	12	advmod
16	,	PUNCT	17	punct
17	Deraa	PROPN	17	nsubj
18	ressemble	VERB	5	conj
19	à	ADP	20	case
20	une	DET	20	det
21	ville	NOUN	17	obl:arg
22	fantôme	ADJ	20	amod
23	"	PUNCT	5	punct
24	,	PUNCT	27	punct
25	a	AUX	27	aux:tense
26	-t	PART	26	dep
27	-elle	PRON	27	nsubj
28	ajouté	VERB	5	parataxis
29	.	PUNCT	5	punct