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:
Mubarak, por su parte, avisó de que la "violencia israelí" puede abonar el terreno al terrorismo en la región.
Postion	Tokenization
1	Mubarak
2	,
3	por
4	su
5	parte
6	,
7	avisó
8	de
9	que
10	la
11	"
12	violencia
13	israelí
14	"
15	puede
16	abonar
17	el
18	terreno
19	al
20	terrorismo
21	en
22	la
23	región
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Mubarak	PROPN	7	nsubj
2	,	PUNCT	5	punct
3	por	ADP	5	case
4	su	DET	5	det
5	parte	NOUN	7	obl
6	,	PUNCT	5	punct
7	avisó	VERB	0	root
8	de	ADP	16	mark
9	que	SCONJ	16	mark
10	la	DET	12	det
11	"	PUNCT	12	punct
12	violencia	NOUN	16	nsubj
13	israelí	ADJ	12	amod
14	"	PUNCT	12	punct
15	puede	AUX	16	aux
16	abonar	VERB	7	xcomp
17	el	DET	18	det
18	terreno	NOUN	16	obj
19	al	ADP	20	case
20	terrorismo	NOUN	16	obj
21	en	ADP	23	case
22	la	DET	23	det
23	región	NOUN	16	obl
24	.	PUNCT	7	punct