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: Pokud v literatuře může být výrazem takového spojení například detektivka či příběh červené knihovny s filozofujícími prvky, pak ve fotografii je vzhledem k její větší míře popisnosti běžná třeba kombinace silné eroticky fotografie nebo násilí s výtvarnou hloubkou a jemnou rafinovaností.
Position	Tokenization	UPOS	Head	Deprel
1	Pokud	SCONJ	4	mark
2	v	ADP	3	case
3	literatuře	NOUN	4	obl
4	může	VERB	29	advcl
5	být	AUX	6	cop
6	výrazem	NOUN	4	xcomp
7	takového	DET	8	det
8	spojení	NOUN	6	nmod
9	například	ADV	10	advmod:emph
10	detektivka	NOUN	4	nsubj
11	či	CCONJ	12	cc
12	příběh	NOUN	10	conj
13	červené	ADJ	14	amod
14	knihovny	NOUN	12	nmod
15	s	ADP	17	case
16	filozofujícími	ADJ	17	amod
17	prvky	NOUN	12	nmod
18	,	PUNCT	4	punct
19	pak	ADV	29	advmod
20	ve	ADP	21	case
21	fotografii	NOUN	29	obl
22	je	AUX	29	cop
23	vzhledem	ADP	27	case
24	k	ADP	23	fixed
25	její	DET	27	det
26	větší	ADJ	27	amod
27	míře	NOUN	29	obl
28	popisnosti	NOUN	27	nmod
29	běžná	ADJ	0	root
30	třeba	ADV	31	advmod:emph
31	kombinace	NOUN	29	nsubj
32	silné	ADJ	34	amod
33	eroticky	ADV	32	advmod
34	fotografie	NOUN	31	nmod
35	nebo	CCONJ	36	cc
36	násilí	NOUN	34	conj
37	s	ADP	39	case
38	výtvarnou	ADJ	39	amod
39	hloubkou	NOUN	31	nmod
40	a	CCONJ	42	cc
41	jemnou	ADJ	42	amod
42	rafinovaností	NOUN	39	conj
43	.	PUNCT	29	punct