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:
Por aquel entonces, el EPR acababa de nacer, pero hoy se ha convertido en la guerrilla mexicana más activa, con decenas de muertos a sus espaldas.
Postion	Tokenization
1	Por
2	aquel
3	entonces
4	,
5	el
6	EPR
7	acababa
8	de
9	nacer
10	,
11	pero
12	hoy
13	se
14	ha
15	convertido
16	en
17	la
18	guerrilla
19	mexicana
20	más
21	activa
22	,
23	con
24	decenas
25	de
26	muertos
27	a
28	sus
29	espaldas
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Por	ADP	7	advmod
2	aquel	PRON	1	fixed
3	entonces	ADV	1	fixed
4	,	PUNCT	1	punct
5	el	DET	6	det
6	EPR	PROPN	7	nsubj
7	acababa	VERB	0	root
8	de	ADP	9	mark
9	nacer	VERB	7	xcomp
10	,	PUNCT	15	punct
11	pero	CCONJ	15	cc
12	hoy	ADV	15	advmod
13	se	PRON	15	expl:pv
14	ha	AUX	15	aux
15	convertido	VERB	9	conj
16	en	ADP	18	case
17	la	DET	18	det
18	guerrilla	NOUN	15	obj
19	mexicana	ADJ	18	amod
20	más	ADV	21	advmod
21	activa	ADJ	18	amod
22	,	PUNCT	24	punct
23	con	ADP	24	case
24	decenas	NOUN	18	nmod
25	de	ADP	26	case
26	muertos	NOUN	24	nmod
27	a	ADP	29	case
28	sus	DET	29	det
29	espaldas	NOUN	24	nmod
30	.	PUNCT	7	punct