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:
Por segunda vez en tres meses, el Gabinete israelí decidió atacar posiciones militares sirias en el interior del territorio libanés.
Postion	Tokenization
1	Por
2	segunda
3	vez
4	en
5	tres
6	meses
7	,
8	el
9	Gabinete
10	israelí
11	decidió
12	atacar
13	posiciones
14	militares
15	sirias
16	en
17	el
18	interior
19	del
20	territorio
21	libanés
22	.
Position	Tokenization	UPOS	Head	Deprel
1	Por	ADP	3	case
2	segunda	ADJ	3	amod
3	vez	NOUN	11	obl
4	en	ADP	6	case
5	tres	NUM	6	nummod
6	meses	NOUN	3	nmod
7	,	PUNCT	3	punct
8	el	DET	9	det
9	Gabinete	PROPN	11	nsubj
10	israelí	ADJ	9	amod
11	decidió	VERB	0	root
12	atacar	VERB	11	xcomp
13	posiciones	NOUN	12	obj
14	militares	ADJ	13	amod
15	sirias	ADJ	13	amod
16	en	ADP	18	case
17	el	DET	18	det
18	interior	NOUN	13	nmod
19	del	ADP	20	case
20	territorio	NOUN	18	nmod
21	libanés	ADJ	20	amod
22	.	PUNCT	11	punct