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:
Kniha je určena především pro pracovníky personálních oddělení, řídící pracovníky, zaměstnance poradenských firem, stejně jako pro studenty škol s ekonomickým nebo podnikatelským zaměřením.
Postion	Tokenization
1	Kniha
2	je
3	určena
4	především
5	pro
6	pracovníky
7	personálních
8	oddělení
9	,
10	řídící
11	pracovníky
12	,
13	zaměstnance
14	poradenských
15	firem
16	,
17	stejně
18	jako
19	pro
20	studenty
21	škol
22	s
23	ekonomickým
24	nebo
25	podnikatelským
26	zaměřením
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Kniha	NOUN	3	nsubj
2	je	AUX	3	cop
3	určena	ADJ	0	root
4	především	ADV	6	advmod:emph
5	pro	ADP	6	case
6	pracovníky	NOUN	3	obl
7	personálních	ADJ	8	amod
8	oddělení	NOUN	6	nmod
9	,	PUNCT	11	punct
10	řídící	ADJ	11	amod
11	pracovníky	NOUN	6	conj
12	,	PUNCT	13	punct
13	zaměstnance	NOUN	6	conj
14	poradenských	ADJ	15	amod
15	firem	NOUN	13	nmod
16	,	PUNCT	17	punct
17	stejně	ADV	3	advmod
18	jako	SCONJ	20	mark
19	pro	ADP	20	case
20	studenty	NOUN	17	dep
21	škol	NOUN	20	nmod
22	s	ADP	26	case
23	ekonomickým	ADJ	26	amod
24	nebo	CCONJ	25	cc
25	podnikatelským	ADJ	23	conj
26	zaměřením	NOUN	21	nmod
27	.	PUNCT	3	punct