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 président de l'Égypte, Hosni Moubarak, éprouve, selon un diplomate basé au Caire « une haine viscérale pour la République islamique ».
Postion	Tokenization
1	Le
2	président
3	de
4	l'
5	Égypte
6	,
7	Hosni
8	Moubarak
9	,
10	éprouve
11	,
12	selon
13	un
14	diplomate
15	basé
16	au
17	à
18	le
19	Caire
20	«
21	une
22	haine
23	viscérale
24	pour
25	la
26	République
27	islamique
28	»
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	2	det
2	président	NOUN	10	nsubj
3	de	ADP	5	case
4	l'	DET	5	det
5	Égypte	PROPN	2	nmod
6	,	PUNCT	7	punct
7	Hosni	PROPN	2	appos
8	Moubarak	PROPN	7	flat:name
9	,	PUNCT	7	punct
10	éprouve	VERB	0	root
11	,	PUNCT	14	punct
12	selon	ADP	14	case
13	un	DET	14	det
14	diplomate	NOUN	10	obl:mod
15	basé	VERB	14	acl
16	au	_	None	_
17	à	ADP	18	case
18	le	DET	18	det
19	Caire	PROPN	15	obl:arg
20	«	PUNCT	21	punct
21	une	DET	21	det
22	haine	NOUN	10	obj
23	viscérale	ADJ	21	amod
24	pour	ADP	25	case
25	la	DET	25	det
26	République	NOUN	21	nmod
27	islamique	ADJ	25	amod
28	»	PUNCT	21	punct
29	.	PUNCT	10	punct