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: Autor obrázků, Walter Zednicek, nebyl původně ani fotografem, ani architektem, pouze amatérem, který k danému tvůrci obrátil soustavnou pozornost a vytvořil tak jakési portrétní album fotografií wagnerovské architektury.
Position	Tokenization	UPOS	Head	Deprel
1	Autor	NOUN	10	nsubj
2	obrázků	NOUN	1	nmod
3	,	PUNCT	4	punct
4	Walter	PROPN	1	appos
5	Zednicek	PROPN	4	flat
6	,	PUNCT	4	punct
7	nebyl	AUX	10	cop
8	původně	ADV	10	advmod
9	ani	CCONJ	10	cc
10	fotografem	NOUN	0	root
11	,	PUNCT	13	punct
12	ani	CCONJ	13	cc
13	architektem	NOUN	10	conj
14	,	PUNCT	16	punct
15	pouze	ADV	16	advmod:emph
16	amatérem	NOUN	10	conj
17	,	PUNCT	22	punct
18	který	DET	22	nsubj
19	k	ADP	21	case
20	danému	ADJ	21	amod
21	tvůrci	NOUN	22	obl
22	obrátil	VERB	16	acl:relcl
23	soustavnou	ADJ	24	amod
24	pozornost	NOUN	22	obj
25	a	CCONJ	26	cc
26	vytvořil	VERB	22	conj
27	tak	ADV	26	advmod
28	jakési	DET	30	det
29	portrétní	ADJ	30	amod
30	album	NOUN	26	obj
31	fotografií	NOUN	30	nmod
32	wagnerovské	ADJ	33	amod
33	architektury	NOUN	31	nmod
34	.	PUNCT	10	punct