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:
Kasparov repitió el gambito de dama aceptado y Kramnik volvió a innovar y a poner en serios aprietos al "ogro de Bakú" que se ha salvado de sufrir su segunda derrota.
Postion	Tokenization
1	Kasparov
2	repitió
3	el
4	gambito
5	de
6	dama
7	aceptado
8	y
9	Kramnik
10	volvió
11	a
12	innovar
13	y
14	a
15	poner
16	en
17	serios
18	aprietos
19	al
20	"
21	ogro
22	de
23	Bakú
24	"
25	que
26	se
27	ha
28	salvado
29	de
30	sufrir
31	su
32	segunda
33	derrota
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Kasparov	PROPN	2	nsubj
2	repitió	VERB	0	root
3	el	DET	4	det
4	gambito	NOUN	2	obj
5	de	ADP	6	case
6	dama	NOUN	4	nmod
7	aceptado	ADJ	4	amod
8	y	CCONJ	10	cc
9	Kramnik	PROPN	10	nsubj
10	volvió	VERB	2	conj
11	a	ADP	12	mark
12	innovar	VERB	10	xcomp
13	y	CCONJ	15	cc
14	a	ADP	15	mark
15	poner	VERB	12	conj
16	en	ADP	18	case
17	serios	ADJ	18	amod
18	aprietos	NOUN	15	obl
19	al	ADP	21	case
20	"	PUNCT	21	punct
21	ogro	NOUN	15	obj
22	de	ADP	23	case
23	Bakú	PROPN	21	nmod
24	"	PUNCT	21	punct
25	que	PRON	28	nsubj
26	se	PRON	28	obj
27	ha	AUX	28	aux
28	salvado	VERB	21	acl
29	de	ADP	30	mark
30	sufrir	VERB	28	xcomp
31	su	DET	33	det
32	segunda	ADJ	33	amod
33	derrota	NOUN	30	obj
34	.	PUNCT	2	punct