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:
Isabel Fernández rememoró el combate frente a la cubana Dryuslis González y admitió que los últimos segundos de la final "fueron los más intensos de mi vida deportiva.
Postion	Tokenization
1	Isabel
2	Fernández
3	rememoró
4	el
5	combate
6	frente
7	a
8	la
9	cubana
10	Dryuslis
11	González
12	y
13	admitió
14	que
15	los
16	últimos
17	segundos
18	de
19	la
20	final
21	"
22	fueron
23	los
24	más
25	intensos
26	de
27	mi
28	vida
29	deportiva
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Isabel	PROPN	3	nsubj
2	Fernández	PROPN	1	flat
3	rememoró	VERB	0	root
4	el	DET	5	det
5	combate	NOUN	3	obj
6	frente	ADV	5	advmod
7	a	ADP	9	case
8	la	DET	9	det
9	cubana	NOUN	6	obl
10	Dryuslis	PROPN	9	appos
11	González	PROPN	10	flat
12	y	CCONJ	13	cc
13	admitió	VERB	3	conj
14	que	SCONJ	25	mark
15	los	DET	17	det
16	últimos	ADJ	17	amod
17	segundos	NOUN	25	nsubj
18	de	ADP	20	case
19	la	DET	20	det
20	final	NOUN	17	nmod
21	"	PUNCT	25	punct
22	fueron	AUX	25	cop
23	los	DET	25	det
24	más	ADV	25	advmod
25	intensos	ADJ	13	ccomp
26	de	ADP	28	case
27	mi	DET	28	det
28	vida	NOUN	25	nmod
29	deportiva	ADJ	28	amod
30	.	PUNCT	3	punct