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:
* Egypte : La hausse des salaires des fonctionnaires pourrait être perçue comme une bonne nouvelle si elle avait été étendue à tous les salariés et chômeurs d'Egypte.
Postion	Tokenization
1	*
2	Egypte
3	:
4	La
5	hausse
6	des
7	de
8	les
9	salaires
10	des
11	de
12	les
13	fonctionnaires
14	pourrait
15	être
16	perçue
17	comme
18	une
19	bonne
20	nouvelle
21	si
22	elle
23	avait
24	été
25	étendue
26	à
27	tous
28	les
29	salariés
30	et
31	chômeurs
32	d'
33	Egypte
34	.
Position	Tokenization	UPOS	Head	Deprel
1	*	PUNCT	12	punct
2	Egypte	PROPN	12	parataxis
3	:	PUNCT	2	punct
4	La	DET	5	det
5	hausse	NOUN	12	nsubj
6	des	_	None	_
7	de	ADP	8	case
8	les	DET	8	det
9	salaires	NOUN	5	nmod
10	des	_	None	_
11	de	ADP	11	case
12	les	DET	11	det
13	fonctionnaires	NOUN	8	nmod
14	pourrait	VERB	0	root
15	être	AUX	14	aux:pass
16	perçue	VERB	12	xcomp:obj
17	comme	ADP	18	case
18	une	DET	18	det
19	bonne	ADJ	18	amod
20	nouvelle	NOUN	14	obl:mod
21	si	SCONJ	23	mark
22	elle	PRON	23	nsubj:pass
23	avait	AUX	23	aux:tense
24	été	AUX	23	aux:pass
25	étendue	VERB	12	advcl
26	à	ADP	27	case
27	tous	ADJ	27	amod
28	les	DET	27	det
29	salariés	NOUN	23	obl:arg
30	et	CCONJ	29	cc
31	chômeurs	NOUN	27	conj
32	d'	ADP	31	case
33	Egypte	PROPN	27	nmod
34	.	PUNCT	12	punct