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 text: Na Kačenkův dotaz, kolika důstojníků armády se dotkne plánované snižování počtu tabulkových míst vojáků z povolání, Klaus odpověděl, že k poslednímu prosincovému dni měla armáda 30415 vojáků z povolání, ačkoli jich bylo plánováno o 1500 více.
Position	Tokenization	UPOS	Head	Deprel
1	Na	ADP	3	case
2	Kačenkův	ADJ	3	amod
3	dotaz	NOUN	20	obl:arg
4	,	PUNCT	9	punct
5	kolika	DET	6	det:nummod
6	důstojníků	NOUN	9	obl:arg
7	armády	NOUN	6	nmod
8	se	PRON	9	expl:pv
9	dotkne	VERB	3	acl
10	plánované	ADJ	11	amod
11	snižování	NOUN	9	nsubj
12	počtu	NOUN	11	nmod
13	tabulkových	ADJ	14	amod
14	míst	NOUN	12	nmod
15	vojáků	NOUN	14	nmod
16	z	ADP	17	case
17	povolání	NOUN	15	nmod
18	,	PUNCT	9	punct
19	Klaus	PROPN	20	nsubj
20	odpověděl	VERB	0	root
21	,	PUNCT	27	punct
22	že	SCONJ	27	mark
23	k	ADP	26	case
24	poslednímu	ADJ	26	amod
25	prosincovému	ADJ	26	amod
26	dni	NOUN	27	obl
27	měla	VERB	20	ccomp
28	armáda	NOUN	27	nsubj
29	30415	NUM	30	nummod:gov
30	vojáků	NOUN	27	obj
31	z	ADP	32	case
32	povolání	NOUN	30	nmod
33	,	PUNCT	37	punct
34	ačkoli	SCONJ	37	mark
35	jich	PRON	40	nmod
36	bylo	AUX	37	aux:pass
37	plánováno	ADJ	27	obl
38	o	ADP	39	case
39	1500	NUM	40	obl
40	více	ADV	37	nsubj:pass
41	.	PUNCT	20	punct