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:
O tom, že v magickém prostoru neplatí trojrozměrnost, přesvědčí diváky Tomáš Ruller se svým Beránkem na půdě (možná ale někde úplně jinde).
Postion	Tokenization
1	O
2	tom
3	,
4	že
5	v
6	magickém
7	prostoru
8	neplatí
9	trojrozměrnost
10	,
11	přesvědčí
12	diváky
13	Tomáš
14	Ruller
15	se
16	svým
17	Beránkem
18	na
19	půdě
20	(
21	možná
22	ale
23	někde
24	úplně
25	jinde
26	)
27	.
Position	Tokenization	UPOS	Head	Deprel
1	O	ADP	2	case
2	tom	DET	11	obl:arg
3	,	PUNCT	8	punct
4	že	SCONJ	8	mark
5	v	ADP	7	case
6	magickém	ADJ	7	amod
7	prostoru	NOUN	8	obl
8	neplatí	VERB	2	acl
9	trojrozměrnost	NOUN	8	nsubj
10	,	PUNCT	8	punct
11	přesvědčí	VERB	0	root
12	diváky	NOUN	11	obj
13	Tomáš	PROPN	11	nsubj
14	Ruller	PROPN	13	flat
15	se	ADP	17	case
16	svým	DET	17	det
17	Beránkem	NOUN	11	obl
18	na	ADP	19	case
19	půdě	NOUN	17	nmod
20	(	PUNCT	21	punct
21	možná	ADV	11	dep
22	ale	CCONJ	23	cc
23	někde	ADV	21	conj
24	úplně	ADV	25	advmod
25	jinde	ADV	21	conj
26	)	PUNCT	21	punct
27	.	PUNCT	11	punct