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:
Pero, al fin, el terror atrapó a María Elena; fueron a buscarla, y duele imaginar el instante de pánico que debió de sentir ante sus asesinos.
Postion	Tokenization
1	Pero
2	,
3	al
4	fin
5	,
6	el
7	terror
8	atrapó
9	a
10	María
11	Elena
12	;
13	fueron
14	a
15	buscarla
16	buscar
17	la
18	,
19	y
20	duele
21	imaginar
22	el
23	instante
24	de
25	pánico
26	que
27	debió
28	de
29	sentir
30	ante
31	sus
32	asesinos
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Pero	CCONJ	8	advmod
2	,	PUNCT	3	punct
3	al	ADP	8	advmod
4	fin	NOUN	3	fixed
5	,	PUNCT	3	punct
6	el	DET	7	det
7	terror	NOUN	8	nsubj
8	atrapó	VERB	0	root
9	a	ADP	10	case
10	María	PROPN	8	obj
11	Elena	PROPN	10	flat
12	;	PUNCT	15	punct
13	fueron	AUX	15	aux
14	a	ADP	15	mark
15	buscarla	_	None	_
16	buscar	VERB	8	advcl
17	la	PRON	15	obj
18	,	PUNCT	15	punct
19	y	CCONJ	19	cc
20	duele	VERB	8	conj
21	imaginar	VERB	19	csubj
22	el	DET	22	det
23	instante	NOUN	20	obj
24	de	ADP	24	case
25	pánico	NOUN	22	nmod
26	que	PRON	28	obj
27	debió	AUX	28	aux
28	de	ADP	28	mark
29	sentir	VERB	24	acl
30	ante	ADP	31	case
31	sus	DET	31	det
32	asesinos	NOUN	28	obl
33	.	PUNCT	8	punct