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:
Prodejen by v několika příštích letech mělo vzniknout třicet (v Československu letos firma otevřela 40 prodejen) a prodávat se v nich bude i polské zboží.
Postion	Tokenization
1	Prodejen
2	by
3	v
4	několika
5	příštích
6	letech
7	mělo
8	vzniknout
9	třicet
10	(
11	v
12	Československu
13	letos
14	firma
15	otevřela
16	40
17	prodejen
18	)
19	a
20	prodávat
21	se
22	v
23	nich
24	bude
25	i
26	polské
27	zboží
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Prodejen	NOUN	7	nsubj
2	by	AUX	7	aux
3	v	ADP	6	case
4	několika	DET	6	det:nummod
5	příštích	ADJ	6	amod
6	letech	NOUN	7	obl
7	mělo	VERB	0	root
8	vzniknout	VERB	7	xcomp
9	třicet	NUM	1	nummod:gov
10	(	PUNCT	15	punct
11	v	ADP	12	case
12	Československu	PROPN	15	obl
13	letos	ADV	15	advmod
14	firma	NOUN	15	nsubj
15	otevřela	VERB	7	parataxis
16	40	NUM	17	nummod:gov
17	prodejen	NOUN	15	obj
18	)	PUNCT	15	punct
19	a	CCONJ	20	cc
20	prodávat	VERB	7	conj
21	se	PRON	20	expl:pass
22	v	ADP	23	case
23	nich	PRON	20	obl
24	bude	AUX	20	aux
25	i	CCONJ	27	advmod:emph
26	polské	ADJ	27	amod
27	zboží	NOUN	20	nsubj:pass
28	.	PUNCT	7	punct