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:
Ředitel pražského Obecního domu Zbyněk Sadil odmítá nést odpovědnost za rozhodnutí o tom, kdo získá zakázku na téměř jedenapůlmiliardovou rekonstrukci této secesní památky.
Postion	Tokenization
1	Ředitel
2	pražského
3	Obecního
4	domu
5	Zbyněk
6	Sadil
7	odmítá
8	nést
9	odpovědnost
10	za
11	rozhodnutí
12	o
13	tom
14	,
15	kdo
16	získá
17	zakázku
18	na
19	téměř
20	jedenapůlmiliardovou
21	rekonstrukci
22	této
23	secesní
24	památky
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Ředitel	NOUN	7	nsubj
2	pražského	ADJ	4	amod
3	Obecního	ADJ	4	amod
4	domu	NOUN	1	nmod
5	Zbyněk	PROPN	1	flat
6	Sadil	PROPN	1	flat
7	odmítá	VERB	0	root
8	nést	VERB	7	xcomp
9	odpovědnost	NOUN	8	obj
10	za	ADP	11	case
11	rozhodnutí	NOUN	9	nmod
12	o	ADP	13	case
13	tom	DET	11	det
14	,	PUNCT	16	punct
15	kdo	PRON	16	nsubj
16	získá	VERB	13	acl:relcl
17	zakázku	NOUN	16	obj
18	na	ADP	21	case
19	téměř	ADV	21	advmod:emph
20	jedenapůlmiliardovou	ADJ	21	amod
21	rekonstrukci	NOUN	17	nmod
22	této	DET	24	det
23	secesní	ADJ	24	amod
24	památky	NOUN	21	nmod
25	.	PUNCT	7	punct