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: Cíl své knihy vyjádřil zcela jasně již v předmluvě: Poznání odvrácené strany japonského managementu má mnohé výhody pro praktického podnikatele, na rozdíl od vědce nebo studenta, zabývajícího se japonskými zvyklostmi.
Position	Tokenization	UPOS	Head	Deprel
1	Cíl	NOUN	4	obj
2	své	DET	3	det
3	knihy	NOUN	1	nmod
4	vyjádřil	VERB	0	root
5	zcela	ADV	6	advmod
6	jasně	ADV	4	advmod
7	již	ADV	9	advmod:emph
8	v	ADP	9	case
9	předmluvě	NOUN	4	obl
10	:	PUNCT	16	punct
11	Poznání	NOUN	16	nsubj
12	odvrácené	ADJ	13	amod
13	strany	NOUN	11	nmod
14	japonského	ADJ	15	amod
15	managementu	NOUN	13	nmod
16	má	VERB	6	appos
17	mnohé	ADJ	18	amod
18	výhody	NOUN	16	obj
19	pro	ADP	21	case
20	praktického	ADJ	21	amod
21	podnikatele	NOUN	18	nmod
22	,	PUNCT	26	punct
23	na	ADP	26	case
24	rozdíl	NOUN	23	fixed
25	od	ADP	23	fixed
26	vědce	NOUN	16	obl
27	nebo	CCONJ	28	cc
28	studenta	NOUN	26	conj
29	,	PUNCT	30	punct
30	zabývajícího	ADJ	28	amod
31	se	PRON	30	expl:pv
32	japonskými	ADJ	33	amod
33	zvyklostmi	NOUN	30	obl:arg
34	.	PUNCT	4	punct