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:
Josu Ternera cita su historial de activista etarra desde 1973 y lo presenta como un asiduo a las reuniones de Ekin y Jarrai, haciendo prevaler su condición de aforado.
Postion	Tokenization
1	Josu
2	Ternera
3	cita
4	su
5	historial
6	de
7	activista
8	etarra
9	desde
10	1973
11	y
12	lo
13	presenta
14	como
15	un
16	asiduo
17	a
18	las
19	reuniones
20	de
21	Ekin
22	y
23	Jarrai
24	,
25	haciendo
26	prevaler
27	su
28	condición
29	de
30	aforado
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Josu	PROPN	3	nsubj
2	Ternera	PROPN	1	flat
3	cita	VERB	0	root
4	su	DET	5	det
5	historial	NOUN	3	obj
6	de	ADP	7	case
7	activista	NOUN	5	nmod
8	etarra	ADJ	7	amod
9	desde	ADP	10	case
10	1973	NOUN	5	nmod
11	y	CCONJ	13	cc
12	lo	PRON	13	obj
13	presenta	VERB	3	conj
14	como	SCONJ	16	mark
15	un	DET	16	det
16	asiduo	ADJ	13	iobj
17	a	ADP	19	case
18	las	DET	19	det
19	reuniones	NOUN	16	nmod
20	de	ADP	21	case
21	Ekin	PROPN	19	nmod
22	y	CCONJ	23	cc
23	Jarrai	PROPN	21	conj
24	,	PUNCT	25	punct
25	haciendo	VERB	13	advcl
26	prevaler	VERB	25	xcomp
27	su	DET	28	det
28	condición	NOUN	25	obj
29	de	ADP	30	case
30	aforado	ADJ	28	amod
31	.	PUNCT	3	punct