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:
Jaromír Meduna ("gauner" Manuel) a Jana Švandová (démonická bardáma Sylvie) převádějí svá vnitřní hnutí do řeči prázdných gest a fatálního patosu.
Postion	Tokenization
1	Jaromír
2	Meduna
3	(
4	"
5	gauner
6	"
7	Manuel
8	)
9	a
10	Jana
11	Švandová
12	(
13	démonická
14	bardáma
15	Sylvie
16	)
17	převádějí
18	svá
19	vnitřní
20	hnutí
21	do
22	řeči
23	prázdných
24	gest
25	a
26	fatálního
27	patosu
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Jaromír	PROPN	17	nsubj
2	Meduna	PROPN	1	flat
3	(	PUNCT	5	punct
4	"	PUNCT	5	punct
5	gauner	NOUN	1	flat
6	"	PUNCT	5	punct
7	Manuel	PROPN	5	flat
8	)	PUNCT	5	punct
9	a	CCONJ	10	cc
10	Jana	PROPN	1	conj
11	Švandová	PROPN	10	flat
12	(	PUNCT	14	punct
13	démonická	ADJ	14	amod
14	bardáma	NOUN	10	flat
15	Sylvie	PROPN	14	flat
16	)	PUNCT	14	punct
17	převádějí	VERB	0	root
18	svá	DET	20	det
19	vnitřní	ADJ	20	amod
20	hnutí	NOUN	17	obj
21	do	ADP	22	case
22	řeči	NOUN	17	obl
23	prázdných	ADJ	24	amod
24	gest	NOUN	22	nmod
25	a	CCONJ	27	cc
26	fatálního	ADJ	27	amod
27	patosu	NOUN	24	conj
28	.	PUNCT	17	punct