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:
Započteme-li návštěvu ministra zahraničí Josefa Zieleniece ve Španělsku v polovině března, navštívili naši nejvyšší představitelé v poslední době celkem sedm španělsky mluvících zemí.
Postion	Tokenization
1	Započteme
2	-
3	li
4	návštěvu
5	ministra
6	zahraničí
7	Josefa
8	Zieleniece
9	ve
10	Španělsku
11	v
12	polovině
13	března
14	,
15	navštívili
16	naši
17	nejvyšší
18	představitelé
19	v
20	poslední
21	době
22	celkem
23	sedm
24	španělsky
25	mluvících
26	zemí
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Započteme	VERB	15	advcl
2	-	PUNCT	1	punct
3	li	PART	1	mark
4	návštěvu	NOUN	1	obj
5	ministra	NOUN	4	nmod
6	zahraničí	NOUN	5	nmod
7	Josefa	PROPN	5	flat
8	Zieleniece	PROPN	5	flat
9	ve	ADP	10	case
10	Španělsku	PROPN	4	nmod
11	v	ADP	12	case
12	polovině	NOUN	4	nmod
13	března	NOUN	12	nmod
14	,	PUNCT	1	punct
15	navštívili	VERB	0	root
16	naši	DET	18	det
17	nejvyšší	ADJ	18	amod
18	představitelé	NOUN	15	nsubj
19	v	ADP	21	case
20	poslední	ADJ	21	amod
21	době	NOUN	15	obl
22	celkem	ADV	15	advmod
23	sedm	NUM	26	nummod:gov
24	španělsky	ADV	25	advmod
25	mluvících	ADJ	26	amod
26	zemí	NOUN	15	obj
27	.	PUNCT	15	punct