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:
Robert Mandel mi po koncertě řekl: Snažíme se o to, aby pop renesance nebo baroka byl pro dnešního posluchače stejně atraktivní jako tenkrát.
Postion	Tokenization
1	Robert
2	Mandel
3	mi
4	po
5	koncertě
6	řekl
7	:
8	Snažíme
9	se
10	o
11	to
12	,
13	aby
14	aby
15	by
16	pop
17	renesance
18	nebo
19	baroka
20	byl
21	pro
22	dnešního
23	posluchače
24	stejně
25	atraktivní
26	jako
27	tenkrát
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Robert	PROPN	6	nsubj
2	Mandel	PROPN	1	flat
3	mi	PRON	6	obl:arg
4	po	ADP	5	case
5	koncertě	NOUN	6	obl
6	řekl	VERB	0	root
7	:	PUNCT	8	punct
8	Snažíme	VERB	6	ccomp
9	se	PRON	8	expl:pv
10	o	ADP	11	case
11	to	DET	8	obl:arg
12	,	PUNCT	24	punct
13	aby	_	None	_
14	aby	SCONJ	24	mark
15	by	AUX	24	aux
16	pop	NOUN	24	nsubj
17	renesance	NOUN	15	nmod
18	nebo	CCONJ	18	cc
19	baroka	NOUN	16	conj
20	byl	AUX	24	cop
21	pro	ADP	22	case
22	dnešního	ADJ	22	amod
23	posluchače	NOUN	24	obl
24	stejně	ADV	24	advmod
25	atraktivní	ADJ	11	acl
26	jako	SCONJ	26	mark
27	tenkrát	ADV	23	advcl
28	.	PUNCT	6	punct