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:
Byrokraticky smýšlející politik byl vždy přesvědčen, že ví lépe , co je dobré pro občana , než občan sám a že jej proto musí za každou cenu "chránit" a prokazovat mu tím svou důležitost.
Postion	Tokenization
1	Byrokraticky
2	smýšlející
3	politik
4	byl
5	vždy
6	přesvědčen
7	,
8	že
9	ví
10	lépe
11	,
12	co
13	je
14	dobré
15	pro
16	občana
17	,
18	než
19	občan
20	sám
21	a
22	že
23	jej
24	proto
25	musí
26	za
27	každou
28	cenu
29	"
30	chránit
31	"
32	a
33	prokazovat
34	mu
35	tím
36	svou
37	důležitost
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Byrokraticky	ADV	2	advmod
2	smýšlející	ADJ	3	amod
3	politik	NOUN	6	nsubj
4	byl	AUX	6	cop
5	vždy	ADV	6	advmod
6	přesvědčen	ADJ	0	root
7	,	PUNCT	9	punct
8	že	SCONJ	9	mark
9	ví	VERB	6	ccomp
10	lépe	ADV	9	advmod
11	,	PUNCT	14	punct
12	co	PRON	14	nsubj
13	je	AUX	14	cop
14	dobré	ADJ	9	ccomp
15	pro	ADP	16	case
16	občana	NOUN	14	obl:arg
17	,	PUNCT	19	punct
18	než	SCONJ	19	mark
19	občan	NOUN	10	advcl
20	sám	DET	19	xcomp
21	a	CCONJ	25	cc
22	že	SCONJ	25	mark
23	jej	PRON	30	obj
24	proto	CCONJ	25	advmod
25	musí	VERB	9	conj
26	za	ADP	28	case
27	každou	DET	28	det
28	cenu	NOUN	30	obl
29	"	PUNCT	30	punct
30	chránit	VERB	25	xcomp
31	"	PUNCT	30	punct
32	a	CCONJ	33	cc
33	prokazovat	VERB	30	conj
34	mu	PRON	33	obl:arg
35	tím	DET	33	obl
36	svou	DET	37	det
37	důležitost	NOUN	33	obj
38	.	PUNCT	6	punct