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:
Počátkem července obdrželo vedení banky Bohemia z bruselského Střediska pro výzkum Evropského trhu (European market research center) nominaci na udělení evropského ocenění za nejlepší management.
Postion	Tokenization
1	Počátkem
2	července
3	obdrželo
4	vedení
5	banky
6	Bohemia
7	z
8	bruselského
9	Střediska
10	pro
11	výzkum
12	Evropského
13	trhu
14	(
15	European
16	market
17	research
18	center
19	)
20	nominaci
21	na
22	udělení
23	evropského
24	ocenění
25	za
26	nejlepší
27	management
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Počátkem	NOUN	2	case
2	července	NOUN	3	obl
3	obdrželo	VERB	0	root
4	vedení	NOUN	3	nsubj
5	banky	NOUN	4	nmod
6	Bohemia	PROPN	5	nmod
7	z	ADP	9	case
8	bruselského	ADJ	9	amod
9	Střediska	NOUN	3	obl
10	pro	ADP	11	case
11	výzkum	NOUN	9	nmod
12	Evropského	ADJ	13	amod
13	trhu	NOUN	11	nmod
14	(	PUNCT	15	punct
15	European	ADJ	9	appos
16	market	ADJ	15	flat:foreign
17	research	ADJ	15	flat:foreign
18	center	PROPN	15	flat:foreign
19	)	PUNCT	15	punct
20	nominaci	NOUN	3	obj
21	na	ADP	22	case
22	udělení	NOUN	20	nmod
23	evropského	ADJ	24	amod
24	ocenění	NOUN	22	nmod
25	za	ADP	27	case
26	nejlepší	ADJ	27	amod
27	management	NOUN	24	nmod
28	.	PUNCT	3	punct