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:
Los desnudos candidatos, entre los que se encontraba su cabeza de lista por la provincia de Santa Cruz de Tenerife, Joaquín Galera, llevaron así a las últimas consecuencias la necesidad de su partido de tener un contacto directo con la gente e innovar sobre los tan frecuentes mítines políticos.
Postion	Tokenization
1	Los
2	desnudos
3	candidatos
4	,
5	entre
6	los
7	que
8	se
9	encontraba
10	su
11	cabeza
12	de
13	lista
14	por
15	la
16	provincia
17	de
18	Santa
19	Cruz
20	de
21	Tenerife
22	,
23	Joaquín
24	Galera
25	,
26	llevaron
27	así
28	a
29	las
30	últimas
31	consecuencias
32	la
33	necesidad
34	de
35	su
36	partido
37	de
38	tener
39	un
40	contacto
41	directo
42	con
43	la
44	gente
45	e
46	innovar
47	sobre
48	los
49	tan
50	frecuentes
51	mítines
52	políticos
53	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	3	det
2	desnudos	ADJ	3	amod
3	candidatos	NOUN	26	nsubj
4	,	PUNCT	9	punct
5	entre	ADP	7	case
6	los	DET	7	det
7	que	PRON	9	obl
8	se	PRON	9	expl:pv
9	encontraba	VERB	3	acl
10	su	DET	11	det
11	cabeza	NOUN	9	nsubj
12	de	ADP	13	case
13	lista	NOUN	11	nmod
14	por	ADP	16	case
15	la	DET	16	det
16	provincia	NOUN	13	nmod
17	de	ADP	18	case
18	Santa	PROPN	16	nmod
19	Cruz	PROPN	18	flat
20	de	ADP	21	case
21	Tenerife	PROPN	18	flat
22	,	PUNCT	23	punct
23	Joaquín	PROPN	11	appos
24	Galera	PROPN	23	flat
25	,	PUNCT	23	punct
26	llevaron	VERB	0	root
27	así	ADV	26	advmod
28	a	ADP	31	case
29	las	DET	31	det
30	últimas	ADJ	31	amod
31	consecuencias	NOUN	26	obl
32	la	DET	33	det
33	necesidad	NOUN	26	obj
34	de	ADP	36	case
35	su	DET	36	det
36	partido	NOUN	33	nmod
37	de	ADP	38	mark
38	tener	VERB	33	acl
39	un	DET	40	det
40	contacto	NOUN	38	obj
41	directo	ADJ	40	amod
42	con	ADP	44	case
43	la	DET	44	det
44	gente	NOUN	38	obl
45	e	CCONJ	46	cc
46	innovar	VERB	38	conj
47	sobre	ADP	51	case
48	los	DET	51	det
49	tan	ADV	50	advmod
50	frecuentes	ADJ	51	amod
51	mítines	NOUN	46	obl
52	políticos	ADJ	51	amod
53	.	PUNCT	26	punct