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:
Publikace o umění získat zákazníka se zabývá především otázkou přípravy a realizace programů kvality služeb, významem komunikace při získávání zákazníka, normami kvality služeb a měřením spokojenosti zákazníka.
Postion	Tokenization
1	Publikace
2	o
3	umění
4	získat
5	zákazníka
6	se
7	zabývá
8	především
9	otázkou
10	přípravy
11	a
12	realizace
13	programů
14	kvality
15	služeb
16	,
17	významem
18	komunikace
19	při
20	získávání
21	zákazníka
22	,
23	normami
24	kvality
25	služeb
26	a
27	měřením
28	spokojenosti
29	zákazníka
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Publikace	NOUN	7	nsubj
2	o	ADP	3	case
3	umění	NOUN	1	nmod
4	získat	VERB	3	acl
5	zákazníka	NOUN	4	obj
6	se	PRON	7	expl:pv
7	zabývá	VERB	0	root
8	především	ADV	9	advmod:emph
9	otázkou	NOUN	7	obl:arg
10	přípravy	NOUN	9	nmod
11	a	CCONJ	12	cc
12	realizace	NOUN	10	conj
13	programů	NOUN	10	nmod
14	kvality	NOUN	13	nmod
15	služeb	NOUN	14	nmod
16	,	PUNCT	17	punct
17	významem	NOUN	9	conj
18	komunikace	NOUN	17	nmod
19	při	ADP	20	case
20	získávání	NOUN	17	nmod
21	zákazníka	NOUN	20	nmod
22	,	PUNCT	23	punct
23	normami	NOUN	9	conj
24	kvality	NOUN	23	nmod
25	služeb	NOUN	24	nmod
26	a	CCONJ	27	cc
27	měřením	NOUN	9	conj
28	spokojenosti	NOUN	27	nmod
29	zákazníka	NOUN	28	nmod
30	.	PUNCT	7	punct