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:
Uvedl příklad, kdy byl televizní redaktor Milan Adámek poté, co pozval Zemana i Klause k dialogu, aniž by o sobě vzájemně věděli, propuštěn.
Postion	Tokenization
1	Uvedl
2	příklad
3	,
4	kdy
5	byl
6	televizní
7	redaktor
8	Milan
9	Adámek
10	poté
11	,
12	co
13	pozval
14	Zemana
15	i
16	Klause
17	k
18	dialogu
19	,
20	aniž
21	by
22	o
23	sobě
24	vzájemně
25	věděli
26	,
27	propuštěn
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Uvedl	VERB	0	root
2	příklad	NOUN	1	obj
3	,	PUNCT	27	punct
4	kdy	ADV	27	advmod
5	byl	AUX	27	aux:pass
6	televizní	ADJ	7	amod
7	redaktor	NOUN	27	nsubj:pass
8	Milan	PROPN	7	flat
9	Adámek	PROPN	7	flat
10	poté	ADV	27	advmod
11	,	PUNCT	13	punct
12	co	SCONJ	13	mark
13	pozval	VERB	27	advcl
14	Zemana	PROPN	13	obj
15	i	CCONJ	16	cc
16	Klause	PROPN	14	conj
17	k	ADP	18	case
18	dialogu	NOUN	13	obl
19	,	PUNCT	25	punct
20	aniž	SCONJ	25	mark
21	by	AUX	25	aux
22	o	ADP	23	case
23	sobě	PRON	25	obl:arg
24	vzájemně	ADV	25	advmod
25	věděli	VERB	13	advcl
26	,	PUNCT	13	punct
27	propuštěn	ADJ	2	amod
28	.	PUNCT	1	punct