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:
La selección española de baloncesto para discapacitados psíquicos aseguró, al menos, la plata al clasificarse para la final paralímpica tras derrotar a Polonia 97-67.
Postion	Tokenization
1	La
2	selección
3	española
4	de
5	baloncesto
6	para
7	discapacitados
8	psíquicos
9	aseguró
10	,
11	al
12	menos
13	,
14	la
15	plata
16	al
17	clasificarse
18	clasificar
19	se
20	para
21	la
22	final
23	paralímpica
24	tras
25	derrotar
26	a
27	Polonia
28	97-67
29	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	selección	NOUN	9	nsubj
3	española	ADJ	2	amod
4	de	ADP	5	case
5	baloncesto	NOUN	2	nmod
6	para	ADP	7	case
7	discapacitados	NOUN	2	nmod
8	psíquicos	ADJ	7	amod
9	aseguró	VERB	0	root
10	,	PUNCT	11	punct
11	al	ADP	15	advmod
12	menos	ADV	11	fixed
13	,	PUNCT	11	punct
14	la	DET	15	det
15	plata	NOUN	9	obj
16	al	ADP	17	mark
17	clasificarse	_	None	_
18	clasificar	VERB	9	advcl
19	se	PRON	17	expl:pv
20	para	ADP	21	case
21	la	DET	21	det
22	final	NOUN	17	obl
23	paralímpica	ADJ	21	amod
24	tras	ADP	24	mark
25	derrotar	VERB	17	advcl
26	a	ADP	26	case
27	Polonia	PROPN	24	obj
28	97-67	NUM	24	obl
29	.	PUNCT	9	punct