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:
Alger, qui a abrité cet événement, veut interpeller l'opinion internationale sur la politique du deux poids, deux mesures appliquée par l'ONU.
Postion	Tokenization
1	Alger
2	,
3	qui
4	a
5	abrité
6	cet
7	événement
8	,
9	veut
10	interpeller
11	l'
12	opinion
13	internationale
14	sur
15	la
16	politique
17	du
18	de
19	le
20	deux
21	poids
22	,
23	deux
24	mesures
25	appliquée
26	par
27	l'
28	ONU
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Alger	PROPN	9	nsubj
2	,	PUNCT	5	punct
3	qui	PRON	5	nsubj
4	a	AUX	5	aux:tense
5	abrité	VERB	1	acl:relcl
6	cet	DET	7	det
7	événement	NOUN	5	obj
8	,	PUNCT	5	punct
9	veut	VERB	0	root
10	interpeller	VERB	9	xcomp:obj
11	l'	DET	12	det
12	opinion	NOUN	10	obj
13	internationale	ADJ	12	amod
14	sur	ADP	16	case
15	la	DET	16	det
16	politique	NOUN	10	obl:mod
17	du	_	None	_
18	de	ADP	20	case
19	le	DET	20	det
20	deux	NUM	20	nummod
21	poids	NOUN	16	nmod
22	,	PUNCT	23	punct
23	deux	NUM	23	nummod
24	mesures	NOUN	20	conj
25	appliquée	VERB	16	acl
26	par	ADP	27	case
27	l'	DET	27	det
28	ONU	PROPN	24	obl:agent
29	.	PUNCT	9	punct