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:
Nevadí autorčin subjektivní tón či téměř úplná absence studia pramenů a knih, ale právě nedostatek kontaktu s českými občany snižuje hodnotu knihy pro německy mluvícího čtenáře.
Postion	Tokenization
1	Nevadí
2	autorčin
3	subjektivní
4	tón
5	či
6	téměř
7	úplná
8	absence
9	studia
10	pramenů
11	a
12	knih
13	,
14	ale
15	právě
16	nedostatek
17	kontaktu
18	s
19	českými
20	občany
21	snižuje
22	hodnotu
23	knihy
24	pro
25	německy
26	mluvícího
27	čtenáře
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Nevadí	VERB	0	root
2	autorčin	ADJ	4	amod
3	subjektivní	ADJ	4	amod
4	tón	NOUN	1	nsubj
5	či	CCONJ	8	cc
6	téměř	ADV	7	advmod:emph
7	úplná	ADJ	8	amod
8	absence	NOUN	4	conj
9	studia	NOUN	8	nmod
10	pramenů	NOUN	9	nmod
11	a	CCONJ	12	cc
12	knih	NOUN	10	conj
13	,	PUNCT	21	punct
14	ale	CCONJ	21	cc
15	právě	ADV	16	advmod:emph
16	nedostatek	NOUN	21	nsubj
17	kontaktu	NOUN	16	nmod
18	s	ADP	20	case
19	českými	ADJ	20	amod
20	občany	NOUN	17	nmod
21	snižuje	VERB	1	conj
22	hodnotu	NOUN	21	obj
23	knihy	NOUN	22	nmod
24	pro	ADP	27	case
25	německy	ADV	26	advmod
26	mluvícího	ADJ	27	amod
27	čtenáře	NOUN	22	nmod
28	.	PUNCT	1	punct