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:
Las blancas de Kramnik estaban mejor situadas y Kasparov tenía que limitarse a defenderse de las acometidas de aquel lo que le tenía muy contento.
Postion	Tokenization
1	Las
2	blancas
3	de
4	Kramnik
5	estaban
6	mejor
7	situadas
8	y
9	Kasparov
10	tenía
11	que
12	limitarse
13	limitar
14	se
15	a
16	defenderse
17	defender
18	se
19	de
20	las
21	acometidas
22	de
23	aquel
24	lo
25	que
26	le
27	tenía
28	muy
29	contento
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Las	DET	2	det
2	blancas	NOUN	7	nsubj
3	de	ADP	4	case
4	Kramnik	PROPN	2	nmod
5	estaban	AUX	7	cop
6	mejor	ADV	7	advmod
7	situadas	ADJ	0	root
8	y	CCONJ	10	cc
9	Kasparov	PROPN	12	nsubj
10	tenía	VERB	7	conj
11	que	SCONJ	12	cc
12	limitarse	_	None	_
13	limitar	VERB	10	conj
14	se	PRON	12	expl:pv
15	a	ADP	15	mark
16	defenderse	_	None	_
17	defender	VERB	12	xcomp
18	se	PRON	15	obj
19	de	ADP	19	case
20	las	DET	19	det
21	acometidas	NOUN	15	obj
22	de	ADP	21	case
23	aquel	PRON	19	nmod
24	lo	PRON	25	det
25	que	PRON	25	nsubj
26	le	PRON	25	obj
27	tenía	VERB	12	advcl
28	muy	ADV	27	advmod
29	contento	ADJ	25	iobj
30	.	PUNCT	7	punct