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: Když stát vloni zvýšil příspěvek na dietu o sto korun, získala příspěvek 165 Kč, poté však byly v prosinci zvýšeny důchody a žadatelce, protože překročila tehdy platné životní minimum, byl příspěvek zastaven.
Position	Tokenization	UPOS	Head	Deprel
1	Když	SCONJ	4	mark
2	stát	NOUN	4	nsubj
3	vloni	ADV	4	advmod
4	zvýšil	VERB	12	advcl
5	příspěvek	NOUN	4	obj
6	na	ADP	7	case
7	dietu	NOUN	5	nmod
8	o	ADP	9	case
9	sto	NOUN	4	obl
10	korun	NOUN	9	nmod
11	,	PUNCT	4	punct
12	získala	VERB	0	root
13	příspěvek	NOUN	12	obj
14	165	NUM	13	nummod
15	Kč	NOUN	14	nmod
16	,	PUNCT	22	punct
17	poté	ADV	22	advmod
18	však	CCONJ	22	cc
19	byly	AUX	22	aux:pass
20	v	ADP	21	case
21	prosinci	NOUN	22	obl
22	zvýšeny	ADJ	12	conj
23	důchody	NOUN	22	nsubj:pass
24	a	CCONJ	36	cc
25	žadatelce	NOUN	36	obl
26	,	PUNCT	28	punct
27	protože	SCONJ	28	mark
28	překročila	VERB	36	advcl
29	tehdy	ADV	30	advmod
30	platné	ADJ	32	amod
31	životní	ADJ	32	amod
32	minimum	NOUN	28	obj
33	,	PUNCT	28	punct
34	byl	AUX	36	aux:pass
35	příspěvek	NOUN	36	nsubj:pass
36	zastaven	ADJ	22	conj
37	.	PUNCT	12	punct