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:
Podle generálního manažera této firmy Rudolfa Haberleitnera fúze vytváří předpoklady pro to, aby Eurotech zaujal dominantní postavení ve výrobě budíků a stolních hodin v Evropě.
Postion	Tokenization
1	Podle
2	generálního
3	manažera
4	této
5	firmy
6	Rudolfa
7	Haberleitnera
8	fúze
9	vytváří
10	předpoklady
11	pro
12	to
13	,
14	aby
15	aby
16	by
17	Eurotech
18	zaujal
19	dominantní
20	postavení
21	ve
22	výrobě
23	budíků
24	a
25	stolních
26	hodin
27	v
28	Evropě
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Podle	ADP	3	case
2	generálního	ADJ	3	amod
3	manažera	NOUN	9	obl
4	této	DET	5	det
5	firmy	NOUN	3	nmod
6	Rudolfa	PROPN	3	flat
7	Haberleitnera	PROPN	3	flat
8	fúze	NOUN	9	nsubj
9	vytváří	VERB	0	root
10	předpoklady	NOUN	9	obj
11	pro	ADP	12	case
12	to	DET	10	det
13	,	PUNCT	17	punct
14	aby	_	None	_
15	aby	SCONJ	17	mark
16	by	AUX	17	aux
17	Eurotech	PROPN	17	nsubj
18	zaujal	VERB	12	acl
19	dominantní	ADJ	19	amod
20	postavení	NOUN	17	obj
21	ve	ADP	21	case
22	výrobě	NOUN	17	obl
23	budíků	NOUN	21	nmod
24	a	CCONJ	25	cc
25	stolních	ADJ	25	amod
26	hodin	NOUN	22	conj
27	v	ADP	27	case
28	Evropě	PROPN	17	obl
29	.	PUNCT	9	punct