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:
Vzhledem k žádostem o propuštění ze služebního poměru při dovršení věkové hranice a k organizačním změnám se předpokládá, říká Klaus, že letos se počet vojáků z povolání sníží o tři tisíce.
Postion	Tokenization
1	Vzhledem
2	k
3	žádostem
4	o
5	propuštění
6	ze
7	služebního
8	poměru
9	při
10	dovršení
11	věkové
12	hranice
13	a
14	k
15	organizačním
16	změnám
17	se
18	předpokládá
19	,
20	říká
21	Klaus
22	,
23	že
24	letos
25	se
26	počet
27	vojáků
28	z
29	povolání
30	sníží
31	o
32	tři
33	tisíce
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Vzhledem	ADP	3	case
2	k	ADP	1	fixed
3	žádostem	NOUN	18	obl
4	o	ADP	5	case
5	propuštění	NOUN	3	nmod
6	ze	ADP	8	case
7	služebního	ADJ	8	amod
8	poměru	NOUN	5	nmod
9	při	ADP	10	case
10	dovršení	NOUN	5	nmod
11	věkové	ADJ	12	amod
12	hranice	NOUN	10	nmod
13	a	CCONJ	16	cc
14	k	ADP	16	case
15	organizačním	ADJ	16	amod
16	změnám	NOUN	3	conj
17	se	PRON	18	expl:pass
18	předpokládá	VERB	20	ccomp
19	,	PUNCT	18	punct
20	říká	VERB	0	root
21	Klaus	PROPN	20	nsubj
22	,	PUNCT	30	punct
23	že	SCONJ	30	mark
24	letos	ADV	30	advmod
25	se	PRON	30	expl:pv
26	počet	NOUN	30	nsubj
27	vojáků	NOUN	26	nmod
28	z	ADP	29	case
29	povolání	NOUN	27	nmod
30	sníží	VERB	18	csubj:pass
31	o	ADP	33	case
32	tři	NUM	33	nummod
33	tisíce	NOUN	30	obl
34	.	PUNCT	20	punct