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:
Por todas partes, fotos y pósters de ídolos portorriqueños: desde el - alcalde - del Bronx, Fernando Ferrer, a la bomba sexy del momento: Iris Chacón.
Postion	Tokenization
1	Por
2	todas
3	partes
4	,
5	fotos
6	y
7	pósters
8	de
9	ídolos
10	portorriqueños
11	:
12	desde
13	el
14	-
15	alcalde
16	-
17	del
18	Bronx
19	,
20	Fernando
21	Ferrer
22	,
23	a
24	la
25	bomba
26	sexy
27	del
28	momento
29	:
30	Iris
31	Chacón
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Por	ADP	3	case
2	todas	DET	3	det
3	partes	NOUN	5	nmod
4	,	PUNCT	3	punct
5	fotos	NOUN	0	root
6	y	CCONJ	7	cc
7	pósters	NOUN	5	conj
8	de	ADP	9	case
9	ídolos	NOUN	5	nmod
10	portorriqueños	ADJ	9	amod
11	:	PUNCT	15	punct
12	desde	ADP	15	case
13	el	DET	15	det
14	-	PUNCT	15	punct
15	alcalde	NOUN	9	appos
16	-	PUNCT	15	punct
17	del	ADP	18	case
18	Bronx	PROPN	15	nmod
19	,	PUNCT	20	punct
20	Fernando	PROPN	15	appos
21	Ferrer	PROPN	20	flat
22	,	PUNCT	25	punct
23	a	ADP	25	cc
24	la	DET	25	det
25	bomba	NOUN	15	conj
26	sexy	ADJ	25	amod
27	del	ADP	28	case
28	momento	NOUN	25	nmod
29	:	PUNCT	30	punct
30	Iris	PROPN	25	appos
31	Chacón	PROPN	30	flat
32	.	PUNCT	5	punct