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:
Vinohradský federál osiřel a členové novopečené Poslanecké sněmovny Parlamentu ČR rozhodli, že se z pěkně upravených historických prostor na Malé Straně stěhovat nebudou.
Postion	Tokenization
1	Vinohradský
2	federál
3	osiřel
4	a
5	členové
6	novopečené
7	Poslanecké
8	sněmovny
9	Parlamentu
10	ČR
11	rozhodli
12	,
13	že
14	se
15	z
16	pěkně
17	upravených
18	historických
19	prostor
20	na
21	Malé
22	Straně
23	stěhovat
24	nebudou
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Vinohradský	ADJ	2	amod
2	federál	NOUN	3	nsubj
3	osiřel	VERB	0	root
4	a	CCONJ	11	cc
5	členové	NOUN	11	nsubj
6	novopečené	ADJ	8	amod
7	Poslanecké	ADJ	8	amod
8	sněmovny	NOUN	5	nmod
9	Parlamentu	NOUN	8	nmod
10	ČR	PROPN	9	nmod
11	rozhodli	VERB	3	conj
12	,	PUNCT	23	punct
13	že	SCONJ	23	mark
14	se	PRON	23	expl:pv
15	z	ADP	19	case
16	pěkně	ADV	17	advmod
17	upravených	ADJ	19	amod
18	historických	ADJ	19	amod
19	prostor	NOUN	23	obl
20	na	ADP	22	case
21	Malé	ADJ	22	amod
22	Straně	NOUN	19	nmod
23	stěhovat	VERB	11	ccomp
24	nebudou	AUX	23	aux
25	.	PUNCT	3	punct