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: O podvod však v žádném případě nešlo, teď naposledy to zcela zřetelně ukazuje kniha Vladimíra Hanzela "Zrychlený tep dějin" - která přesně popisuje situaci jakéhosi "štábu" revoluce, jak operativně reaguje na tahy protivníka.
Position	Tokenization	UPOS	Head	Deprel
1	O	ADP	2	case
2	podvod	NOUN	7	obl:arg
3	však	CCONJ	7	cc
4	v	ADP	6	case
5	žádném	DET	6	det
6	případě	NOUN	7	obl
7	nešlo	VERB	0	root
8	,	PUNCT	14	punct
9	teď	ADV	14	advmod
10	naposledy	ADV	14	advmod
11	to	DET	14	obj
12	zcela	ADV	13	advmod
13	zřetelně	ADV	14	advmod
14	ukazuje	VERB	7	conj
15	kniha	NOUN	14	nsubj
16	Vladimíra	PROPN	15	nmod
17	Hanzela	PROPN	16	flat
18	"	PUNCT	20	punct
19	Zrychlený	ADJ	20	amod
20	tep	NOUN	16	nmod
21	dějin	NOUN	20	nmod
22	"	PUNCT	20	punct
23	-	PUNCT	26	punct
24	která	DET	26	nsubj
25	přesně	ADV	26	advmod
26	popisuje	VERB	15	acl:relcl
27	situaci	NOUN	26	obj
28	jakéhosi	DET	30	det
29	"	PUNCT	30	punct
30	štábu	NOUN	27	nmod
31	"	PUNCT	30	punct
32	revoluce	NOUN	30	nmod
33	,	PUNCT	36	punct
34	jak	ADV	36	advmod
35	operativně	ADV	36	advmod
36	reaguje	VERB	30	xcomp
37	na	ADP	38	case
38	tahy	NOUN	36	obl:arg
39	protivníka	NOUN	38	nmod
40	.	PUNCT	7	punct