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:
Před Českými radiokomunikacemi nestojí tak velkolepý program jako před telekomunikacemi, větší zadluženost jim nehrozí a lze očekávat v brzké době i vyplácení dividend.
Postion	Tokenization
1	Před
2	Českými
3	radiokomunikacemi
4	nestojí
5	tak
6	velkolepý
7	program
8	jako
9	před
10	telekomunikacemi
11	,
12	větší
13	zadluženost
14	jim
15	nehrozí
16	a
17	lze
18	očekávat
19	v
20	brzké
21	době
22	i
23	vyplácení
24	dividend
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Před	ADP	3	case
2	Českými	ADJ	3	amod
3	radiokomunikacemi	NOUN	4	obl
4	nestojí	VERB	0	root
5	tak	ADV	6	advmod
6	velkolepý	ADJ	7	amod
7	program	NOUN	4	nsubj
8	jako	SCONJ	10	mark
9	před	ADP	10	case
10	telekomunikacemi	NOUN	5	dep
11	,	PUNCT	15	punct
12	větší	ADJ	13	amod
13	zadluženost	NOUN	15	nsubj
14	jim	PRON	15	obl:arg
15	nehrozí	VERB	4	conj
16	a	CCONJ	17	cc
17	lze	VERB	4	conj
18	očekávat	VERB	17	csubj
19	v	ADP	21	case
20	brzké	ADJ	21	amod
21	době	NOUN	18	obl
22	i	CCONJ	23	advmod:emph
23	vyplácení	NOUN	18	obj
24	dividend	NOUN	23	nmod
25	.	PUNCT	4	punct