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:
Katastrofální hospodaření v armádě, při němž jsou velitelské špičky propojeny s firmami, má podle poslance Michala Krause (ČSSD) na svědomí náměstek ministra obrany Miroslav Kalousek.
Postion	Tokenization
1	Katastrofální
2	hospodaření
3	v
4	armádě
5	,
6	při
7	němž
8	jsou
9	velitelské
10	špičky
11	propojeny
12	s
13	firmami
14	,
15	má
16	podle
17	poslance
18	Michala
19	Krause
20	(
21	ČSSD
22	)
23	na
24	svědomí
25	náměstek
26	ministra
27	obrany
28	Miroslav
29	Kalousek
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Katastrofální	ADJ	2	amod
2	hospodaření	NOUN	15	obj
3	v	ADP	4	case
4	armádě	NOUN	2	nmod
5	,	PUNCT	11	punct
6	při	ADP	7	case
7	němž	PRON	11	obl
8	jsou	AUX	11	cop
9	velitelské	ADJ	10	amod
10	špičky	NOUN	11	nsubj
11	propojeny	ADJ	2	acl:relcl
12	s	ADP	13	case
13	firmami	NOUN	11	obl:arg
14	,	PUNCT	11	punct
15	má	VERB	0	root
16	podle	ADP	17	case
17	poslance	NOUN	15	obl
18	Michala	PROPN	17	flat
19	Krause	PROPN	17	flat
20	(	PUNCT	17	punct
21	ČSSD	PROPN	17	dep
22	)	PUNCT	17	punct
23	na	ADP	24	case
24	svědomí	NOUN	15	obl
25	náměstek	NOUN	15	nsubj
26	ministra	NOUN	25	nmod
27	obrany	NOUN	26	nmod
28	Miroslav	PROPN	25	flat
29	Kalousek	PROPN	25	flat
30	.	PUNCT	15	punct