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:
V nedělním vysílání věnuje Český rozhlas na stanici Praha tomuto "velkému představiteli malých lidí", jak jej označila dramaturgyně Jarmila Konrádová, hned dva pořady.
Postion	Tokenization
1	V
2	nedělním
3	vysílání
4	věnuje
5	Český
6	rozhlas
7	na
8	stanici
9	Praha
10	tomuto
11	"
12	velkému
13	představiteli
14	malých
15	lidí
16	"
17	,
18	jak
19	jej
20	označila
21	dramaturgyně
22	Jarmila
23	Konrádová
24	,
25	hned
26	dva
27	pořady
28	.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	3	case
2	nedělním	ADJ	3	amod
3	vysílání	NOUN	4	obl
4	věnuje	VERB	0	root
5	Český	ADJ	6	amod
6	rozhlas	NOUN	4	nsubj
7	na	ADP	8	case
8	stanici	NOUN	4	obl
9	Praha	PROPN	8	nmod
10	tomuto	DET	13	det
11	"	PUNCT	13	punct
12	velkému	ADJ	13	amod
13	představiteli	NOUN	4	obl:arg
14	malých	ADJ	15	amod
15	lidí	NOUN	13	nmod
16	"	PUNCT	13	punct
17	,	PUNCT	20	punct
18	jak	ADV	20	advmod
19	jej	PRON	20	obj
20	označila	VERB	4	parataxis
21	dramaturgyně	NOUN	20	nsubj
22	Jarmila	PROPN	21	flat
23	Konrádová	PROPN	21	flat
24	,	PUNCT	20	punct
25	hned	ADV	27	advmod:emph
26	dva	NUM	27	nummod
27	pořady	NOUN	4	obj
28	.	PUNCT	4	punct