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:
Ze 750 odběratelů převažují zákazníci z oblasti Humpolce, Pelhřimova, Jihlavy, Pardubic, Kolína, Prahy, Brna, Hodonína a Břeclavi.
Postion	Tokenization
1	Ze
2	750
3	odběratelů
4	převažují
5	zákazníci
6	z
7	oblasti
8	Humpolce
9	,
10	Pelhřimova
11	,
12	Jihlavy
13	,
14	Pardubic
15	,
16	Kolína
17	,
18	Prahy
19	,
20	Brna
21	,
22	Hodonína
23	a
24	Břeclavi
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Ze	ADP	3	case
2	750	NUM	3	nummod
3	odběratelů	NOUN	4	obl
4	převažují	VERB	0	root
5	zákazníci	NOUN	4	nsubj
6	z	ADP	7	case
7	oblasti	NOUN	5	nmod
8	Humpolce	PROPN	7	nmod
9	,	PUNCT	10	punct
10	Pelhřimova	PROPN	8	conj
11	,	PUNCT	12	punct
12	Jihlavy	PROPN	8	conj
13	,	PUNCT	14	punct
14	Pardubic	PROPN	8	conj
15	,	PUNCT	16	punct
16	Kolína	PROPN	8	conj
17	,	PUNCT	18	punct
18	Prahy	PROPN	8	conj
19	,	PUNCT	20	punct
20	Brna	PROPN	8	conj
21	,	PUNCT	22	punct
22	Hodonína	PROPN	8	conj
23	a	CCONJ	24	cc
24	Břeclavi	PROPN	8	conj
25	.	PUNCT	4	punct