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:
Blas Ziarreta explicó que "no perder fuera de casa es bueno", mientras que Rubio lamentó que les faltó "claridad en la segunda parte".
Postion	Tokenization
1	Blas
2	Ziarreta
3	explicó
4	que
5	"
6	no
7	perder
8	fuera
9	de
10	casa
11	es
12	bueno
13	"
14	,
15	mientras
16	que
17	Rubio
18	lamentó
19	que
20	les
21	faltó
22	"
23	claridad
24	en
25	la
26	segunda
27	parte
28	"
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Blas	PROPN	3	nsubj
2	Ziarreta	PROPN	1	flat
3	explicó	VERB	15	parataxis
4	que	SCONJ	12	mark
5	"	PUNCT	12	punct
6	no	ADV	7	advmod
7	perder	VERB	12	csubj
8	fuera	ADV	7	advmod
9	de	ADP	10	case
10	casa	NOUN	8	obl
11	es	AUX	12	cop
12	bueno	ADJ	3	ccomp
13	"	PUNCT	12	punct
14	,	PUNCT	15	punct
15	mientras	CCONJ	0	root
16	que	SCONJ	15	fixed
17	Rubio	PROPN	18	nsubj
18	lamentó	VERB	15	parataxis
19	que	SCONJ	21	mark
20	les	PRON	21	obj
21	faltó	VERB	18	ccomp
22	"	PUNCT	21	punct
23	claridad	NOUN	21	nsubj
24	en	ADP	27	case
25	la	DET	27	det
26	segunda	ADJ	27	amod
27	parte	NOUN	21	obl
28	"	PUNCT	21	punct
29	.	PUNCT	15	punct