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:
- Kdyby se ministrovi Baudyšovi podařilo zaměstnat a nechat bezpečně prosperovat bůhví jak velkou část venkova či dosud neprosperujících, nebo dokonce neexistujících venkovských firem, udělal by pro budoucí dobré jméno české armády, jakož i volební a jiné osudy tohoto státu víc, než by se v této době dalo čekat.
Postion	Tokenization
1	-
2	Kdyby
3	Když
4	by
5	se
6	ministrovi
7	Baudyšovi
8	podařilo
9	zaměstnat
10	a
11	nechat
12	bezpečně
13	prosperovat
14	bůhví
15	jak
16	velkou
17	část
18	venkova
19	či
20	dosud
21	neprosperujících
22	,
23	nebo
24	dokonce
25	neexistujících
26	venkovských
27	firem
28	,
29	udělal
30	by
31	pro
32	budoucí
33	dobré
34	jméno
35	české
36	armády
37	,
38	jakož
39	i
40	volební
41	a
42	jiné
43	osudy
44	tohoto
45	státu
46	víc
47	,
48	než
49	by
50	se
51	v
52	této
53	době
54	dalo
55	čekat
56	.
Position	Tokenization	UPOS	Head	Deprel
1	-	PUNCT	28	punct
2	Kdyby	_	None	_
3	Když	SCONJ	7	mark
4	by	AUX	7	aux
5	se	PRON	7	expl:pv
6	ministrovi	NOUN	7	obl:arg
7	Baudyšovi	PROPN	5	flat
8	podařilo	VERB	28	advcl
9	zaměstnat	VERB	7	csubj
10	a	CCONJ	10	cc
11	nechat	VERB	8	conj
12	bezpečně	ADV	12	advmod
13	prosperovat	VERB	10	xcomp
14	bůhví	PART	14	advmod
15	jak	ADV	15	advmod
16	velkou	ADJ	16	amod
17	část	NOUN	12	obj
18	venkova	NOUN	16	nmod
19	či	CCONJ	26	cc
20	dosud	ADV	20	advmod
21	neprosperujících	ADJ	26	amod
22	,	PUNCT	24	punct
23	nebo	CCONJ	24	cc
24	dokonce	ADV	24	advmod:emph
25	neexistujících	ADJ	20	conj
26	venkovských	ADJ	26	amod
27	firem	NOUN	17	conj
28	,	PUNCT	7	punct
29	udělal	VERB	0	root
30	by	AUX	28	aux
31	pro	ADP	33	case
32	budoucí	ADJ	33	amod
33	dobré	ADJ	33	amod
34	jméno	NOUN	28	obl
35	české	ADJ	35	amod
36	armády	NOUN	33	nmod
37	,	PUNCT	42	punct
38	jakož	SCONJ	42	cc
39	i	CCONJ	42	cc
40	volební	ADJ	42	amod
41	a	CCONJ	41	cc
42	jiné	ADJ	39	conj
43	osudy	NOUN	33	conj
44	tohoto	DET	44	det
45	státu	NOUN	42	nmod
46	víc	ADV	28	obj
47	,	PUNCT	53	punct
48	než	SCONJ	53	mark
49	by	AUX	53	aux
50	se	PRON	53	expl:pass
51	v	ADP	52	case
52	této	DET	52	det
53	době	NOUN	53	obl
54	dalo	VERB	45	advcl
55	čekat	VERB	53	csubj:pass
56	.	PUNCT	28	punct