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:
En la población de Qabatya, cercana a Jenín, tres palestinos resultaron muertos cuando el coche en el que viajaban fue alcanzado por un misil disparado por un helicóptero israelí.
Postion	Tokenization
1	En
2	la
3	población
4	de
5	Qabatya
6	,
7	cercana
8	a
9	Jenín
10	,
11	tres
12	palestinos
13	resultaron
14	muertos
15	cuando
16	el
17	coche
18	en
19	el
20	que
21	viajaban
22	fue
23	alcanzado
24	por
25	un
26	misil
27	disparado
28	por
29	un
30	helicóptero
31	israelí
32	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	la	DET	3	det
3	población	NOUN	13	obl
4	de	ADP	5	case
5	Qabatya	PROPN	3	nmod
6	,	PUNCT	7	punct
7	cercana	ADJ	3	amod
8	a	ADP	9	case
9	Jenín	PROPN	7	nmod
10	,	PUNCT	7	punct
11	tres	NUM	12	nummod
12	palestinos	NOUN	13	nsubj
13	resultaron	VERB	0	root
14	muertos	ADJ	13	obj
15	cuando	SCONJ	23	mark
16	el	DET	17	det
17	coche	NOUN	23	nsubj
18	en	ADP	20	case
19	el	DET	20	det
20	que	PRON	21	obl
21	viajaban	VERB	17	acl
22	fue	AUX	23	aux
23	alcanzado	VERB	13	advcl
24	por	ADP	26	case
25	un	DET	26	det
26	misil	NOUN	23	obj
27	disparado	ADJ	26	amod
28	por	ADP	30	case
29	un	DET	30	det
30	helicóptero	NOUN	27	obj
31	israelí	ADJ	30	amod
32	.	PUNCT	13	punct