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:
Otázky vojenské spolupráce visegrádské čtyřky ve vztahu k NATO by mělo podle prvního náměstka ministra obrany Jiřího Pospíšila řešit ministerstvo zahraničí, a ne ministerstvo obrany.
Postion	Tokenization
1	Otázky
2	vojenské
3	spolupráce
4	visegrádské
5	čtyřky
6	ve
7	vztahu
8	k
9	NATO
10	by
11	mělo
12	podle
13	prvního
14	náměstka
15	ministra
16	obrany
17	Jiřího
18	Pospíšila
19	řešit
20	ministerstvo
21	zahraničí
22	,
23	a
24	ne
25	ministerstvo
26	obrany
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Otázky	NOUN	19	obj
2	vojenské	ADJ	3	amod
3	spolupráce	NOUN	1	nmod
4	visegrádské	ADJ	5	amod
5	čtyřky	NOUN	3	nmod
6	ve	ADP	9	case
7	vztahu	NOUN	6	fixed
8	k	ADP	6	fixed
9	NATO	PROPN	1	nmod
10	by	AUX	11	aux
11	mělo	VERB	0	root
12	podle	ADP	14	case
13	prvního	ADJ	14	amod
14	náměstka	NOUN	19	obl
15	ministra	NOUN	14	nmod
16	obrany	NOUN	15	nmod
17	Jiřího	PROPN	14	flat
18	Pospíšila	PROPN	14	flat
19	řešit	VERB	11	xcomp
20	ministerstvo	NOUN	11	nsubj
21	zahraničí	NOUN	20	nmod
22	,	PUNCT	25	punct
23	a	CCONJ	25	cc
24	ne	PART	25	advmod:emph
25	ministerstvo	NOUN	20	conj
26	obrany	NOUN	25	nmod
27	.	PUNCT	11	punct