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:
Trece palestinos murieron y 90 más resultaron heridos en enfrentamientos ocurridos durante las incursiones realizadas ayer en los campos de refugiados palestinos de Balata y Yenín, en Cisjordania.
Postion	Tokenization
1	Trece
2	palestinos
3	murieron
4	y
5	90
6	más
7	resultaron
8	heridos
9	en
10	enfrentamientos
11	ocurridos
12	durante
13	las
14	incursiones
15	realizadas
16	ayer
17	en
18	los
19	campos
20	de
21	refugiados
22	palestinos
23	de
24	Balata
25	y
26	Yenín
27	,
28	en
29	Cisjordania
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Trece	NUM	2	nummod
2	palestinos	NOUN	3	nsubj
3	murieron	VERB	0	root
4	y	CCONJ	7	cc
5	90	NUM	7	nsubj
6	más	ADV	5	advmod
7	resultaron	VERB	3	conj
8	heridos	ADJ	7	obj
9	en	ADP	10	case
10	enfrentamientos	NOUN	3	obl
11	ocurridos	ADJ	10	amod
12	durante	ADP	14	case
13	las	DET	14	det
14	incursiones	NOUN	11	obl
15	realizadas	ADJ	14	amod
16	ayer	ADV	15	advmod
17	en	ADP	19	case
18	los	DET	19	det
19	campos	NOUN	15	obl
20	de	ADP	21	case
21	refugiados	NOUN	19	nmod
22	palestinos	ADJ	21	amod
23	de	ADP	24	case
24	Balata	PROPN	19	nmod
25	y	CCONJ	26	cc
26	Yenín	PROPN	24	conj
27	,	PUNCT	29	punct
28	en	ADP	29	case
29	Cisjordania	PROPN	24	nmod
30	.	PUNCT	3	punct