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 text: K tématu rozumu a smíchu se řadí i některé vybrané citáty z Fridricha Nietzscheho, charakterizující také jejich přístup k práci: Vidět ve všech věcech hloubku je vlastnost nepohodlná: způsobuje, že člověk neustále namáhá svůj zrak a nakonec najde vždy víc, než si přál.
Position	Tokenization	UPOS	Head	Deprel
1	K	ADP	2	case
2	tématu	NOUN	7	obl:arg
3	rozumu	NOUN	2	nmod
4	a	CCONJ	5	cc
5	smíchu	NOUN	3	conj
6	se	PRON	7	expl:pass
7	řadí	VERB	0	root
8	i	CCONJ	11	advmod:emph
9	některé	DET	11	det
10	vybrané	ADJ	11	amod
11	citáty	NOUN	7	nsubj:pass
12	z	ADP	13	case
13	Fridricha	PROPN	11	nmod
14	Nietzscheho	PROPN	13	flat
15	,	PUNCT	16	punct
16	charakterizující	ADJ	11	amod
17	také	ADV	16	advmod
18	jejich	DET	19	det
19	přístup	NOUN	16	obj
20	k	ADP	21	case
21	práci	NOUN	19	nmod
22	:	PUNCT	29	punct
23	Vidět	VERB	29	csubj
24	ve	ADP	26	case
25	všech	DET	26	det
26	věcech	NOUN	23	obl
27	hloubku	NOUN	23	obj
28	je	AUX	29	cop
29	vlastnost	NOUN	7	conj
30	nepohodlná	ADJ	29	amod
31	:	PUNCT	32	punct
32	způsobuje	VERB	29	conj
33	,	PUNCT	37	punct
34	že	SCONJ	37	mark
35	člověk	NOUN	37	nsubj
36	neustále	ADV	37	advmod
37	namáhá	VERB	32	ccomp
38	svůj	DET	39	det
39	zrak	NOUN	37	obj
40	a	CCONJ	42	cc
41	nakonec	ADV	42	advmod
42	najde	VERB	37	conj
43	vždy	ADV	42	advmod
44	víc	ADV	42	obj
45	,	PUNCT	48	punct
46	než	SCONJ	48	mark
47	si	PRON	48	expl:pv
48	přál	VERB	44	advcl
49	.	PUNCT	7	punct