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:
Vzorem pro nás může být Španělsko, které za pět let vybudovalo 400 km vysokorychlostních tratí AVE (Alta Velocida Espaňol) z Madridu do Sevilly.
Postion	Tokenization
1	Vzorem
2	pro
3	nás
4	může
5	být
6	Španělsko
7	,
8	které
9	za
10	pět
11	let
12	vybudovalo
13	400
14	km
15	vysokorychlostních
16	tratí
17	AVE
18	(
19	Alta
20	Velocida
21	Espaňol
22	)
23	z
24	Madridu
25	do
26	Sevilly
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Vzorem	NOUN	4	xcomp
2	pro	ADP	3	case
3	nás	PRON	1	nmod
4	může	VERB	0	root
5	být	AUX	1	cop
6	Španělsko	PROPN	4	nsubj
7	,	PUNCT	12	punct
8	které	DET	12	nsubj
9	za	ADP	11	case
10	pět	NUM	11	nummod:gov
11	let	NOUN	12	obl
12	vybudovalo	VERB	6	acl:relcl
13	400	NUM	12	obj
14	km	NOUN	13	nmod
15	vysokorychlostních	ADJ	16	amod
16	tratí	NOUN	14	nmod
17	AVE	PROPN	16	nmod
18	(	PUNCT	19	punct
19	Alta	ADJ	17	flat
20	Velocida	PROPN	19	flat:foreign
21	Espaňol	PROPN	19	flat:foreign
22	)	PUNCT	19	punct
23	z	ADP	24	case
24	Madridu	PROPN	16	nmod
25	do	ADP	26	case
26	Sevilly	PROPN	16	nmod
27	.	PUNCT	4	punct