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:
Rafsanyani, que aspiraba a ser el próximo presidente de la Cámara, se presentó como candidato "pragmático" de consenso entre las dos facciones del régimen islámico.
Postion	Tokenization
1	Rafsanyani
2	,
3	que
4	aspiraba
5	a
6	ser
7	el
8	próximo
9	presidente
10	de
11	la
12	Cámara
13	,
14	se
15	presentó
16	como
17	candidato
18	"
19	pragmático
20	"
21	de
22	consenso
23	entre
24	las
25	dos
26	facciones
27	del
28	régimen
29	islámico
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Rafsanyani	PROPN	15	nsubj
2	,	PUNCT	4	punct
3	que	PRON	4	nsubj
4	aspiraba	VERB	1	acl
5	a	ADP	9	mark
6	ser	AUX	9	cop
7	el	DET	9	det
8	próximo	ADJ	9	amod
9	presidente	NOUN	4	xcomp
10	de	ADP	12	case
11	la	DET	12	det
12	Cámara	PROPN	9	nmod
13	,	PUNCT	4	punct
14	se	PRON	15	obj
15	presentó	VERB	0	root
16	como	SCONJ	17	mark
17	candidato	NOUN	15	obj
18	"	PUNCT	19	punct
19	pragmático	ADJ	17	amod
20	"	PUNCT	19	punct
21	de	ADP	22	case
22	consenso	NOUN	17	nmod
23	entre	ADP	26	case
24	las	DET	26	det
25	dos	NUM	24	nummod
26	facciones	NOUN	22	nmod
27	del	ADP	28	case
28	régimen	NOUN	26	nmod
29	islámico	ADJ	28	amod
30	.	PUNCT	15	punct