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:
Las autoridades israelís no desmintieron ayer que Barak traspase tres barrios árabes de los alrededores de Jerusalén al control palestino.
Postion	Tokenization
1	Las
2	autoridades
3	israelís
4	no
5	desmintieron
6	ayer
7	que
8	Barak
9	traspase
10	tres
11	barrios
12	árabes
13	de
14	los
15	alrededores
16	de
17	Jerusalén
18	al
19	control
20	palestino
21	.
Position	Tokenization	UPOS	Head	Deprel
1	Las	DET	2	det
2	autoridades	NOUN	5	nsubj
3	israelís	ADJ	2	amod
4	no	ADV	5	advmod
5	desmintieron	VERB	0	root
6	ayer	ADV	5	advmod
7	que	SCONJ	9	mark
8	Barak	PROPN	9	nsubj
9	traspase	VERB	5	ccomp
10	tres	NUM	11	nummod
11	barrios	NOUN	9	obj
12	árabes	ADJ	11	amod
13	de	ADP	15	case
14	los	DET	15	det
15	alrededores	NOUN	11	nmod
16	de	ADP	17	case
17	Jerusalén	PROPN	15	nmod
18	al	ADP	19	case
19	control	NOUN	9	obl
20	palestino	ADJ	19	amod
21	.	PUNCT	5	punct