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:
Las fotografías más vistas, sin embargo, eran las de tres supuestos policías camuflados a los que los manifestantes acusan de haber provocado los incidentes violentos durante la protesta antimundialización del pasado domingo.
Postion	Tokenization
1	Las
2	fotografías
3	más
4	vistas
5	,
6	sin
7	embargo
8	,
9	eran
10	las
11	de
12	tres
13	supuestos
14	policías
15	camuflados
16	a
17	los
18	que
19	los
20	manifestantes
21	acusan
22	de
23	haber
24	provocado
25	los
26	incidentes
27	violentos
28	durante
29	la
30	protesta
31	antimundialización
32	del
33	pasado
34	domingo
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Las	DET	2	det
2	fotografías	NOUN	10	nsubj
3	más	ADV	4	advmod
4	vistas	ADJ	2	amod
5	,	PUNCT	6	punct
6	sin	ADP	10	advmod
7	embargo	NOUN	6	fixed
8	,	PUNCT	6	punct
9	eran	AUX	10	cop
10	las	DET	0	root
11	de	ADP	14	case
12	tres	NUM	14	nummod
13	supuestos	ADJ	14	amod
14	policías	NOUN	10	nmod
15	camuflados	ADJ	14	amod
16	a	ADP	18	case
17	los	DET	18	det
18	que	PRON	21	iobj
19	los	DET	20	det
20	manifestantes	NOUN	21	nsubj
21	acusan	VERB	14	acl
22	de	ADP	24	mark
23	haber	AUX	24	aux
24	provocado	VERB	21	ccomp
25	los	DET	26	det
26	incidentes	NOUN	24	obj
27	violentos	ADJ	26	amod
28	durante	ADP	30	case
29	la	DET	30	det
30	protesta	NOUN	24	obl
31	antimundialización	ADJ	30	amod
32	del	ADP	34	case
33	pasado	ADJ	34	amod
34	domingo	NOUN	30	nmod
35	.	PUNCT	10	punct