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:
"Votando por aquellas opciones que consideren más procedentes, y que entiendan que rechazan con mayor contundencia y actúan con mayor eficacia para erradicar el terrorismo", precisó el presidente del Gobierno de Navarra, quien pidió a los navarros "que actúen sin miedo y asuman en las elecciones su responsabilidad como ciudadanos para defender las libertades".
Postion	Tokenization
1	"
2	Votando
3	por
4	aquellas
5	opciones
6	que
7	consideren
8	más
9	procedentes
10	,
11	y
12	que
13	entiendan
14	que
15	rechazan
16	con
17	mayor
18	contundencia
19	y
20	actúan
21	con
22	mayor
23	eficacia
24	para
25	erradicar
26	el
27	terrorismo
28	"
29	,
30	precisó
31	el
32	presidente
33	del
34	Gobierno
35	de
36	Navarra
37	,
38	quien
39	pidió
40	a
41	los
42	navarros
43	"
44	que
45	actúen
46	sin
47	miedo
48	y
49	asuman
50	en
51	las
52	elecciones
53	su
54	responsabilidad
55	como
56	ciudadanos
57	para
58	defender
59	las
60	libertades
61	"
62	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	2	punct
2	Votando	VERB	30	ccomp
3	por	ADP	5	case
4	aquellas	DET	5	det
5	opciones	NOUN	2	obl
6	que	PRON	7	obj
7	consideren	VERB	5	acl
8	más	ADV	9	advmod
9	procedentes	ADJ	7	obj
10	,	PUNCT	13	punct
11	y	CCONJ	13	cc
12	que	PRON	13	nsubj
13	entiendan	VERB	7	conj
14	que	SCONJ	15	mark
15	rechazan	VERB	13	ccomp
16	con	ADP	18	case
17	mayor	ADJ	18	amod
18	contundencia	NOUN	15	obl
19	y	CCONJ	20	cc
20	actúan	VERB	15	conj
21	con	ADP	23	case
22	mayor	ADJ	23	amod
23	eficacia	NOUN	20	obl
24	para	ADP	25	mark
25	erradicar	VERB	20	advcl
26	el	DET	27	det
27	terrorismo	NOUN	25	obj
28	"	PUNCT	2	punct
29	,	PUNCT	2	punct
30	precisó	VERB	0	root
31	el	DET	32	det
32	presidente	NOUN	30	nsubj
33	del	ADP	34	case
34	Gobierno	PROPN	32	nmod
35	de	ADP	36	case
36	Navarra	PROPN	34	flat
37	,	PUNCT	39	punct
38	quien	PRON	39	nsubj
39	pidió	VERB	32	acl
40	a	ADP	42	case
41	los	DET	42	det
42	navarros	NOUN	39	iobj
43	"	PUNCT	45	punct
44	que	SCONJ	45	mark
45	actúen	VERB	39	ccomp
46	sin	ADP	47	case
47	miedo	NOUN	45	obl
48	y	CCONJ	49	cc
49	asuman	VERB	45	conj
50	en	ADP	52	case
51	las	DET	52	det
52	elecciones	NOUN	49	obl
53	su	DET	54	det
54	responsabilidad	NOUN	49	obj
55	como	SCONJ	56	mark
56	ciudadanos	NOUN	54	nmod
57	para	ADP	58	mark
58	defender	VERB	54	acl
59	las	DET	60	det
60	libertades	NOUN	58	obj
61	"	PUNCT	30	punct
62	.	PUNCT	30	punct