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:
Kolekci barevných fotografií vystavenou do 30. září v pražském Středisku křesťanské kultury při klášteře dominikánů nazval její autor Ludvík Baran Madony v lidových krojích.
Postion	Tokenization
1	Kolekci
2	barevných
3	fotografií
4	vystavenou
5	do
6	30
7	.
8	září
9	v
10	pražském
11	Středisku
12	křesťanské
13	kultury
14	při
15	klášteře
16	dominikánů
17	nazval
18	její
19	autor
20	Ludvík
21	Baran
22	Madony
23	v
24	lidových
25	krojích
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Kolekci	NOUN	17	obj
2	barevných	ADJ	3	amod
3	fotografií	NOUN	1	nmod
4	vystavenou	ADJ	1	amod
5	do	ADP	8	case
6	30	NUM	8	nummod
7	.	PUNCT	6	punct
8	září	NOUN	4	obl
9	v	ADP	11	case
10	pražském	ADJ	11	amod
11	Středisku	NOUN	4	obl
12	křesťanské	ADJ	13	amod
13	kultury	NOUN	11	nmod
14	při	ADP	15	case
15	klášteře	NOUN	11	nmod
16	dominikánů	NOUN	15	nmod
17	nazval	VERB	0	root
18	její	DET	19	det
19	autor	NOUN	17	nsubj
20	Ludvík	PROPN	19	flat
21	Baran	PROPN	19	flat
22	Madony	NOUN	17	iobj
23	v	ADP	25	case
24	lidových	ADJ	25	amod
25	krojích	NOUN	22	nmod
26	.	PUNCT	17	punct