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:
Předpojatost (nebo snad obavy ze sebepoznání?) starších generací snad dnes A. Kratochvilovi poněkud zmírňuje vřelý zájem mladých bohemistů navštěvujících jeho přednášky na plzeňské a brněnské fakultě.
Postion	Tokenization
1	Předpojatost
2	(
3	nebo
4	snad
5	obavy
6	ze
7	sebepoznání
8	?
9	)
10	starších
11	generací
12	snad
13	dnes
14	A
15	.
16	Kratochvilovi
17	poněkud
18	zmírňuje
19	vřelý
20	zájem
21	mladých
22	bohemistů
23	navštěvujících
24	jeho
25	přednášky
26	na
27	plzeňské
28	a
29	brněnské
30	fakultě
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Předpojatost	NOUN	18	obj
2	(	PUNCT	4	punct
3	nebo	CCONJ	4	cc
4	snad	ADV	18	dep
5	obavy	NOUN	4	conj
6	ze	ADP	7	case
7	sebepoznání	NOUN	5	nmod
8	?	PUNCT	4	punct
9	)	PUNCT	4	punct
10	starších	ADJ	11	amod
11	generací	NOUN	1	nmod
12	snad	ADV	18	advmod
13	dnes	ADV	18	advmod
14	A	PROPN	18	obl
15	.	PUNCT	14	punct
16	Kratochvilovi	PROPN	14	flat
17	poněkud	ADV	18	advmod
18	zmírňuje	VERB	0	root
19	vřelý	ADJ	20	amod
20	zájem	NOUN	18	nsubj
21	mladých	ADJ	22	amod
22	bohemistů	NOUN	20	nmod
23	navštěvujících	ADJ	22	amod
24	jeho	DET	25	det
25	přednášky	NOUN	23	obj
26	na	ADP	30	case
27	plzeňské	ADJ	30	amod
28	a	CCONJ	29	cc
29	brněnské	ADJ	27	conj
30	fakultě	NOUN	25	nmod
31	.	PUNCT	18	punct