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:
Z prvního kola vyplývá, že největší procento zákazníků z téměř 1700 odpovídajících bylo spokojeno s výběrem a kvalitou zboží a služeb, méně už s cenami.
Postion	Tokenization
1	Z
2	prvního
3	kola
4	vyplývá
5	,
6	že
7	největší
8	procento
9	zákazníků
10	z
11	téměř
12	1700
13	odpovídajících
14	bylo
15	spokojeno
16	s
17	výběrem
18	a
19	kvalitou
20	zboží
21	a
22	služeb
23	_
24	,
25	méně
26	už
27	s
28	cenami
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Z	ADP	3	case
2	prvního	ADJ	3	amod
3	kola	NOUN	4	obl:arg
4	vyplývá	VERB	0	root
5	,	PUNCT	15	punct
6	že	SCONJ	15	mark
7	největší	ADJ	8	amod
8	procento	NOUN	15	nsubj
9	zákazníků	NOUN	8	nmod
10	z	ADP	13	case
11	téměř	ADV	12	advmod:emph
12	1700	NUM	13	nummod
13	odpovídajících	ADJ	9	amod
14	bylo	AUX	15	cop
15	spokojeno	ADJ	4	csubj
16	s	ADP	17	case
17	výběrem	NOUN	15	obl:arg
18	a	CCONJ	19	cc
19	kvalitou	NOUN	17	conj
20	zboží	NOUN	17	nmod
21	a	CCONJ	22	cc
22	služeb	NOUN	20	conj
23	_	_	None	_
24	,	PUNCT	24	punct
25	méně	ADV	15	conj
26	už	ADV	24	orphan
27	s	ADP	27	case
28	cenami	NOUN	24	orphan
29	.	PUNCT	4	punct