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:
Engagés sous la bannière du parti radical Al-Nour, les salafistes ont remporté 22% des suffrages au premier tour des législatives égyptiennes.
Postion	Tokenization
1	Engagés
2	sous
3	la
4	bannière
5	du
6	de
7	le
8	parti
9	radical
10	Al-Nour
11	,
12	les
13	salafistes
14	ont
15	remporté
16	22
17	%
18	des
19	de
20	les
21	suffrages
22	au
23	à
24	le
25	premier
26	tour
27	des
28	de
29	les
30	législatives
31	égyptiennes
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Engagés	VERB	14	advcl
2	sous	ADP	4	case
3	la	DET	4	det
4	bannière	NOUN	1	obl:mod
5	du	_	None	_
6	de	ADP	7	case
7	le	DET	7	det
8	parti	NOUN	4	nmod
9	radical	ADJ	7	amod
10	Al-Nour	PROPN	7	appos
11	,	PUNCT	1	punct
12	les	DET	12	det
13	salafistes	NOUN	14	nsubj
14	ont	AUX	14	aux:tense
15	remporté	VERB	0	root
16	22	NUM	16	nummod
17	%	SYM	14	obj
18	des	_	None	_
19	de	ADP	19	case
20	les	DET	19	det
21	suffrages	NOUN	16	nmod
22	au	_	None	_
23	à	ADP	23	case
24	le	DET	23	det
25	premier	ADJ	23	amod
26	tour	NOUN	14	obl:mod
27	des	_	None	_
28	de	ADP	26	case
29	les	DET	26	det
30	législatives	NOUN	23	nmod
31	égyptiennes	ADJ	26	amod
32	.	PUNCT	14	punct