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:
Lo que no se sabe es si también le ofrece explicaciones al respecto al ministro de Economía, Rodrigo Rato, con quien coincide en la clase turista de un vuelo a Asturias.
Postion	Tokenization
1	Lo
2	que
3	no
4	se
5	sabe
6	es
7	si
8	también
9	le
10	ofrece
11	explicaciones
12	al
13	respecto
14	al
15	ministro
16	de
17	Economía
18	,
19	Rodrigo
20	Rato
21	,
22	con
23	quien
24	coincide
25	en
26	la
27	clase
28	turista
29	de
30	un
31	vuelo
32	a
33	Asturias
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Lo	PRON	5	det
2	que	PRON	5	nsubj
3	no	ADV	5	advmod
4	se	PRON	5	expl:pass
5	sabe	VERB	6	csubj
6	es	AUX	0	root
7	si	SCONJ	10	mark
8	también	ADV	10	advmod
9	le	PRON	10	obj
10	ofrece	VERB	6	ccomp
11	explicaciones	NOUN	10	obj
12	al	ADP	10	advmod
13	respecto	NOUN	12	fixed
14	al	ADP	15	case
15	ministro	NOUN	10	obj
16	de	ADP	17	case
17	Economía	PROPN	15	nmod
18	,	PUNCT	19	punct
19	Rodrigo	PROPN	15	appos
20	Rato	PROPN	19	flat
21	,	PUNCT	19	punct
22	con	ADP	23	case
23	quien	PRON	24	obl
24	coincide	VERB	15	acl
25	en	ADP	27	case
26	la	DET	27	det
27	clase	NOUN	24	obj
28	turista	ADJ	27	amod
29	de	ADP	31	case
30	un	DET	31	det
31	vuelo	NOUN	27	nmod
32	a	ADP	33	case
33	Asturias	PROPN	31	nmod
34	.	PUNCT	6	punct