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:
Náměstka ministra obrany Miroslava Kalouska ocenila při květnovém oficiálním pobytu v Izraeli společnost Eagle Group úměrně výši rýsujícího se byznysu.
Postion	Tokenization
1	Náměstka
2	ministra
3	obrany
4	Miroslava
5	Kalouska
6	ocenila
7	při
8	květnovém
9	oficiálním
10	pobytu
11	v
12	Izraeli
13	společnost
14	Eagle
15	Group
16	úměrně
17	výši
18	rýsujícího
19	se
20	byznysu
21	.
Position	Tokenization	UPOS	Head	Deprel
1	Náměstka	NOUN	6	obj
2	ministra	NOUN	1	nmod
3	obrany	NOUN	2	nmod
4	Miroslava	PROPN	1	flat
5	Kalouska	PROPN	1	flat
6	ocenila	VERB	0	root
7	při	ADP	10	case
8	květnovém	ADJ	10	amod
9	oficiálním	ADJ	10	amod
10	pobytu	NOUN	6	obl
11	v	ADP	12	case
12	Izraeli	PROPN	10	nmod
13	společnost	NOUN	6	nsubj
14	Eagle	ADJ	13	nmod
15	Group	PROPN	14	flat:foreign
16	úměrně	ADV	17	case
17	výši	NOUN	6	obl
18	rýsujícího	ADJ	20	amod
19	se	PRON	18	expl:pv
20	byznysu	NOUN	17	nmod
21	.	PUNCT	6	punct