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:
"Queríamos ganar, pero hemos tenido un rival complicado", explicó Miguel Rubio, que no tuvo el debut deseado como entrenador del Lleida.
Postion	Tokenization
1	"
2	Queríamos
3	ganar
4	,
5	pero
6	hemos
7	tenido
8	un
9	rival
10	complicado
11	"
12	,
13	explicó
14	Miguel
15	Rubio
16	,
17	que
18	no
19	tuvo
20	el
21	debut
22	deseado
23	como
24	entrenador
25	del
26	Lleida
27	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	2	punct
2	Queríamos	VERB	13	ccomp
3	ganar	VERB	2	xcomp
4	,	PUNCT	7	punct
5	pero	CCONJ	7	cc
6	hemos	AUX	7	aux
7	tenido	VERB	2	conj
8	un	DET	9	det
9	rival	NOUN	7	obj
10	complicado	ADJ	9	amod
11	"	PUNCT	2	punct
12	,	PUNCT	2	punct
13	explicó	VERB	0	root
14	Miguel	PROPN	13	nsubj
15	Rubio	PROPN	14	flat
16	,	PUNCT	19	punct
17	que	PRON	19	nsubj
18	no	ADV	19	advmod
19	tuvo	VERB	14	acl
20	el	DET	21	det
21	debut	NOUN	19	obj
22	deseado	ADJ	21	amod
23	como	SCONJ	24	mark
24	entrenador	NOUN	19	obl
25	del	ADP	26	case
26	Lleida	PROPN	24	nmod
27	.	PUNCT	13	punct