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:
Un artista, vestido de sacerdote, se unió a las pompas fúnebres con una coloreada vestimenta y una bandera de Ecuador, a la que después lavaron ante la imagen de la Virgen del Cisne, para de forma simbólica limpiar al país de la corrupción.
Postion	Tokenization
1	Un
2	artista
3	,
4	vestido
5	de
6	sacerdote
7	,
8	se
9	unió
10	a
11	las
12	pompas
13	fúnebres
14	con
15	una
16	coloreada
17	vestimenta
18	y
19	una
20	bandera
21	de
22	Ecuador
23	,
24	a
25	la
26	que
27	después
28	lavaron
29	ante
30	la
31	imagen
32	de
33	la
34	Virgen
35	del
36	Cisne
37	,
38	para
39	de
40	forma
41	simbólica
42	limpiar
43	al
44	país
45	de
46	la
47	corrupción
48	.
Position	Tokenization	UPOS	Head	Deprel
1	Un	DET	2	det
2	artista	NOUN	9	nsubj
3	,	PUNCT	4	punct
4	vestido	ADJ	2	amod
5	de	ADP	6	case
6	sacerdote	NOUN	4	obj
7	,	PUNCT	4	punct
8	se	PRON	9	expl:pv
9	unió	VERB	0	root
10	a	ADP	12	case
11	las	DET	12	det
12	pompas	NOUN	9	obj
13	fúnebres	ADJ	12	amod
14	con	ADP	17	case
15	una	DET	17	det
16	coloreada	ADJ	17	amod
17	vestimenta	NOUN	9	obl
18	y	CCONJ	20	cc
19	una	DET	20	det
20	bandera	NOUN	17	conj
21	de	ADP	22	case
22	Ecuador	PROPN	20	nmod
23	,	PUNCT	28	punct
24	a	ADP	26	case
25	la	DET	26	det
26	que	PRON	28	obj
27	después	ADV	28	advmod
28	lavaron	VERB	20	acl
29	ante	ADP	31	case
30	la	DET	31	det
31	imagen	NOUN	28	obl
32	de	ADP	34	case
33	la	DET	34	det
34	Virgen	PROPN	31	nmod
35	del	ADP	36	case
36	Cisne	PROPN	34	flat
37	,	PUNCT	42	punct
38	para	ADP	42	mark
39	de	ADP	40	case
40	forma	NOUN	42	obl
41	simbólica	ADJ	40	amod
42	limpiar	VERB	28	advcl
43	al	ADP	44	case
44	país	NOUN	42	obj
45	de	ADP	47	case
46	la	DET	47	det
47	corrupción	NOUN	44	nmod
48	.	PUNCT	9	punct