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:
El "tigre de Limonar" busca aprovechar el perdón de la IAAF para despedir una gloriosa carrera de manera digna y exitosa, y el ruso de Vladikavkaz rubricar el dominio en esta prueba en los últimos años.
Postion	Tokenization
1	El
2	"
3	tigre
4	de
5	Limonar
6	"
7	busca
8	aprovechar
9	el
10	perdón
11	de
12	la
13	IAAF
14	para
15	despedir
16	una
17	gloriosa
18	carrera
19	de
20	manera
21	digna
22	y
23	exitosa
24	,
25	y
26	el
27	ruso
28	de
29	Vladikavkaz
30	rubricar
31	el
32	dominio
33	en
34	esta
35	prueba
36	en
37	los
38	últimos
39	años
40	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	3	det
2	"	PUNCT	3	punct
3	tigre	NOUN	7	nsubj
4	de	ADP	5	case
5	Limonar	PROPN	3	nmod
6	"	PUNCT	3	punct
7	busca	VERB	0	root
8	aprovechar	VERB	7	xcomp
9	el	DET	10	det
10	perdón	NOUN	8	obj
11	de	ADP	13	case
12	la	DET	13	det
13	IAAF	PROPN	10	nmod
14	para	ADP	15	mark
15	despedir	VERB	8	advcl
16	una	DET	18	det
17	gloriosa	ADJ	18	amod
18	carrera	NOUN	15	obj
19	de	ADP	20	case
20	manera	NOUN	15	obl
21	digna	ADJ	20	amod
22	y	CCONJ	23	cc
23	exitosa	ADJ	21	conj
24	,	PUNCT	30	punct
25	y	CCONJ	30	cc
26	el	DET	27	det
27	ruso	NOUN	30	obj
28	de	ADP	29	case
29	Vladikavkaz	PROPN	27	nmod
30	rubricar	VERB	7	conj
31	el	DET	32	det
32	dominio	NOUN	30	obj
33	en	ADP	35	case
34	esta	DET	35	det
35	prueba	NOUN	30	obl
36	en	ADP	39	case
37	los	DET	39	det
38	últimos	ADJ	39	amod
39	años	NOUN	30	obl
40	.	PUNCT	7	punct