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 eso, si poco puedo decir de la obra publicada de Rosa Regás, puedo afirmar mucho de su trayectoria intelectual, fecunda y abierta.
Postion	Tokenization
1	Por
2	eso
3	,
4	si
5	poco
6	puedo
7	decir
8	de
9	la
10	obra
11	publicada
12	de
13	Rosa
14	Regás
15	,
16	puedo
17	afirmar
18	mucho
19	de
20	su
21	trayectoria
22	intelectual
23	,
24	fecunda
25	y
26	abierta
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Por	ADP	2	case
2	eso	PRON	17	obl
3	,	PUNCT	7	punct
4	si	SCONJ	7	mark
5	poco	PRON	7	obj
6	puedo	AUX	7	aux
7	decir	VERB	17	advcl
8	de	ADP	10	case
9	la	DET	10	det
10	obra	NOUN	7	obl
11	publicada	ADJ	10	amod
12	de	ADP	13	case
13	Rosa	PROPN	10	nmod
14	Regás	PROPN	13	flat
15	,	PUNCT	7	punct
16	puedo	AUX	17	aux
17	afirmar	VERB	0	root
18	mucho	PRON	17	obj
19	de	ADP	21	case
20	su	DET	21	det
21	trayectoria	NOUN	17	obl
22	intelectual	ADJ	21	amod
23	,	PUNCT	24	punct
24	fecunda	ADJ	22	amod
25	y	CCONJ	26	cc
26	abierta	ADJ	22	conj
27	.	PUNCT	17	punct