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:
Podle vládního návrhu by žijícím občanům poškozeným nacistickou perzekucí nebo vdovám či vdovcům po nich měla být poskytnuta částka 2300 korun za každý měsíc věznění perzekuovaného.
Postion	Tokenization
1	Podle
2	vládního
3	návrhu
4	by
5	žijícím
6	občanům
7	poškozeným
8	nacistickou
9	perzekucí
10	nebo
11	vdovám
12	či
13	vdovcům
14	po
15	nich
16	měla
17	být
18	poskytnuta
19	částka
20	2300
21	korun
22	za
23	každý
24	měsíc
25	věznění
26	perzekuovaného
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Podle	ADP	3	case
2	vládního	ADJ	3	amod
3	návrhu	NOUN	16	obl
4	by	AUX	16	aux
5	žijícím	ADJ	6	amod
6	občanům	NOUN	18	obl:arg
7	poškozeným	ADJ	6	amod
8	nacistickou	ADJ	9	amod
9	perzekucí	NOUN	7	obl
10	nebo	CCONJ	11	cc
11	vdovám	NOUN	6	conj
12	či	CCONJ	13	cc
13	vdovcům	NOUN	11	conj
14	po	ADP	15	case
15	nich	PRON	11	nmod
16	měla	VERB	0	root
17	být	AUX	18	aux:pass
18	poskytnuta	ADJ	16	obj
19	částka	NOUN	16	nsubj
20	2300	NUM	21	nummod:gov
21	korun	NOUN	19	nmod
22	za	ADP	24	case
23	každý	DET	24	det
24	měsíc	NOUN	20	nmod
25	věznění	NOUN	24	nmod
26	perzekuovaného	ADJ	25	dep
27	.	PUNCT	16	punct