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:
"Estamos en contra de asesinatos de inocentes - - dijo Mubarak - - pero qué puede hacer un pueblo si su tierra está ocupada y se le niega el derecho de sentarse en una mesa de negociación".
Postion	Tokenization
1	"
2	Estamos
3	en
4	contra
5	de
6	asesinatos
7	de
8	inocentes
9	-
10	-
11	dijo
12	Mubarak
13	-
14	-
15	pero
16	qué
17	puede
18	hacer
19	un
20	pueblo
21	si
22	su
23	tierra
24	está
25	ocupada
26	y
27	se
28	le
29	niega
30	el
31	derecho
32	de
33	sentarse
34	sentar
35	se
36	en
37	una
38	mesa
39	de
40	negociación
41	"
42	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	6	punct
2	Estamos	AUX	6	cop
3	en	ADP	6	case
4	contra	NOUN	3	fixed
5	de	ADP	3	fixed
6	asesinatos	NOUN	0	root
7	de	ADP	8	case
8	inocentes	ADJ	6	amod
9	-	PUNCT	11	punct
10	-	PUNCT	11	punct
11	dijo	VERB	6	parataxis
12	Mubarak	PROPN	11	nsubj
13	-	PUNCT	11	punct
14	-	PUNCT	11	punct
15	pero	CCONJ	18	cc
16	qué	PRON	18	obj
17	puede	AUX	18	aux
18	hacer	VERB	6	conj
19	un	DET	20	det
20	pueblo	NOUN	18	nsubj
21	si	SCONJ	25	mark
22	su	DET	23	det
23	tierra	NOUN	25	nsubj
24	está	AUX	25	cop
25	ocupada	ADJ	18	advcl
26	y	CCONJ	29	cc
27	se	PRON	29	expl:pass
28	le	PRON	29	obj
29	niega	VERB	25	conj
30	el	DET	31	det
31	derecho	NOUN	29	nsubj
32	de	ADP	33	mark
33	sentarse	_	None	_
34	sentar	VERB	31	acl
35	se	PRON	33	expl:pv
36	en	ADP	37	case
37	una	DET	37	det
38	mesa	NOUN	33	obl
39	de	ADP	39	case
40	negociación	NOUN	37	nmod
41	"	PUNCT	6	punct
42	.	PUNCT	6	punct