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:
Arenas dijo que las elecciones municipales de Junio son "una prioridad" del partido en Euskadi, por lo que hizo un llamamiento a toda la organización para "no fallar".
Postion	Tokenization
1	Arenas
2	dijo
3	que
4	las
5	elecciones
6	municipales
7	de
8	Junio
9	son
10	"
11	una
12	prioridad
13	"
14	del
15	partido
16	en
17	Euskadi
18	,
19	por
20	lo
21	que
22	hizo
23	un
24	llamamiento
25	a
26	toda
27	la
28	organización
29	para
30	"
31	no
32	fallar
33	"
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Arenas	PROPN	2	nsubj
2	dijo	VERB	0	root
3	que	SCONJ	12	mark
4	las	DET	5	det
5	elecciones	NOUN	12	nsubj
6	municipales	ADJ	5	amod
7	de	ADP	8	case
8	Junio	NOUN	5	nmod
9	son	AUX	12	cop
10	"	PUNCT	12	punct
11	una	DET	12	det
12	prioridad	NOUN	2	ccomp
13	"	PUNCT	12	punct
14	del	ADP	15	case
15	partido	NOUN	12	nmod
16	en	ADP	17	case
17	Euskadi	PROPN	12	nmod
18	,	PUNCT	22	punct
19	por	ADP	22	mark
20	lo	PRON	22	det
21	que	PRON	22	obl
22	hizo	VERB	2	advcl
23	un	DET	24	det
24	llamamiento	NOUN	22	obj
25	a	ADP	28	case
26	toda	DET	27	det
27	la	DET	28	det
28	organización	NOUN	24	nmod
29	para	ADP	32	mark
30	"	PUNCT	32	punct
31	no	ADV	32	advmod
32	fallar	VERB	22	advcl
33	"	PUNCT	32	punct
34	.	PUNCT	2	punct