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:
Entre sus ídolos de la dirección, cita en primer lugar a Carlos Kleiber, junto a Karajan, Mehta, Maazel y Barenboim: "Kleiber tiene fama de excéntrico, pero lo encuentro genial.
Postion	Tokenization
1	Entre
2	sus
3	ídolos
4	de
5	la
6	dirección
7	,
8	cita
9	en
10	primer
11	lugar
12	a
13	Carlos
14	Kleiber
15	,
16	junto
17	a
18	Karajan
19	,
20	Mehta
21	,
22	Maazel
23	y
24	Barenboim
25	:
26	"
27	Kleiber
28	tiene
29	fama
30	de
31	excéntrico
32	,
33	pero
34	lo
35	encuentro
36	genial
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Entre	ADP	3	case
2	sus	DET	3	det
3	ídolos	NOUN	8	obl
4	de	ADP	6	case
5	la	DET	6	det
6	dirección	NOUN	3	nmod
7	,	PUNCT	3	punct
8	cita	VERB	0	root
9	en	ADP	11	case
10	primer	ADJ	11	amod
11	lugar	NOUN	8	obl
12	a	ADP	8	case
13	Carlos	PROPN	12	conj
14	Kleiber	PROPN	13	flat
15	,	PUNCT	18	punct
16	junto	ADJ	18	cc
17	a	ADP	16	fixed
18	Karajan	PROPN	12	conj
19	,	PUNCT	20	punct
20	Mehta	PROPN	18	conj
21	,	PUNCT	22	punct
22	Maazel	PROPN	18	conj
23	y	CCONJ	24	cc
24	Barenboim	PROPN	18	conj
25	:	PUNCT	28	punct
26	"	PUNCT	28	punct
27	Kleiber	PROPN	28	nsubj
28	tiene	VERB	8	advcl
29	fama	NOUN	28	obj
30	de	ADP	31	case
31	excéntrico	NOUN	29	nmod
32	,	PUNCT	35	punct
33	pero	CCONJ	35	cc
34	lo	PRON	35	obj
35	encuentro	VERB	28	conj
36	genial	ADJ	35	iobj
37	.	PUNCT	8	punct