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:
Eso les hizo tal vez recordar que el nacer era una evasión (- de qué?) y el morir una emigración (- a dónde?)
Postion	Tokenization
1	Eso
2	les
3	hizo
4	tal
5	vez
6	recordar
7	que
8	el
9	nacer
10	era
11	una
12	evasión
13	(
14	-
15	de
16	qué
17	?
18	)
19	y
20	el
21	morir
22	una
23	emigración
24	(
25	-
26	a
27	dónde
28	?
29	)
Position	Tokenization	UPOS	Head	Deprel
1	Eso	PRON	3	nsubj
2	les	PRON	6	iobj
3	hizo	VERB	0	root
4	tal	NOUN	3	advmod
5	vez	NOUN	4	fixed
6	recordar	VERB	3	xcomp
7	que	SCONJ	12	mark
8	el	DET	9	det
9	nacer	NOUN	12	nsubj
10	era	AUX	12	cop
11	una	DET	12	det
12	evasión	NOUN	6	ccomp
13	(	PUNCT	16	punct
14	-	PUNCT	16	punct
15	de	ADP	16	case
16	qué	PRON	12	dep
17	?	PUNCT	16	punct
18	)	PUNCT	16	punct
19	y	CCONJ	21	cc
20	el	DET	21	det
21	morir	NOUN	12	conj
22	una	DET	23	det
23	emigración	NOUN	21	appos
24	(	PUNCT	27	punct
25	-	PUNCT	27	punct
26	a	ADP	27	case
27	dónde	PRON	21	dep
28	?	PUNCT	27	punct
29	)	PUNCT	27	punct