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:
Spojením německé firmy Europa se šternberskou Chronotechnou vznikne společnost, která bude podle slov ekonomického ředitele ing. Jiřího Frantíka disponovat majetkem ve výši 357 miliónů korun.
Postion	Tokenization
1	Spojením
2	německé
3	firmy
4	Europa
5	se
6	šternberskou
7	Chronotechnou
8	vznikne
9	společnost
10	,
11	která
12	bude
13	podle
14	slov
15	ekonomického
16	ředitele
17	ing
18	.
19	Jiřího
20	Frantíka
21	disponovat
22	majetkem
23	ve
24	výši
25	357
26	miliónů
27	korun
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Spojením	NOUN	8	obl
2	německé	ADJ	3	amod
3	firmy	NOUN	1	nmod
4	Europa	PROPN	3	nmod
5	se	ADP	7	case
6	šternberskou	ADJ	7	amod
7	Chronotechnou	PROPN	1	nmod
8	vznikne	VERB	0	root
9	společnost	NOUN	8	nsubj
10	,	PUNCT	21	punct
11	která	DET	21	nsubj
12	bude	AUX	21	aux
13	podle	ADP	14	case
14	slov	NOUN	21	obl
15	ekonomického	ADJ	16	amod
16	ředitele	NOUN	14	nmod
17	ing	NOUN	16	nmod
18	.	PUNCT	17	punct
19	Jiřího	PROPN	16	flat
20	Frantíka	PROPN	16	flat
21	disponovat	VERB	9	acl:relcl
22	majetkem	NOUN	21	obl:arg
23	ve	ADP	24	case
24	výši	NOUN	22	nmod
25	357	NUM	26	nummod:gov
26	miliónů	NOUN	24	nmod
27	korun	NOUN	26	nmod
28	.	PUNCT	8	punct