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:
V hlavním městě je nízká nezaměstnanost a zdravotně postižení většinou v evidenci nezaměstnaných nefigurují, protože pobírají invalidní důchod, případně sociální dávky odborů sociální péče.
Postion	Tokenization
1	V
2	hlavním
3	městě
4	je
5	nízká
6	nezaměstnanost
7	a
8	zdravotně
9	postižení
10	většinou
11	v
12	evidenci
13	nezaměstnaných
14	nefigurují
15	,
16	protože
17	pobírají
18	invalidní
19	důchod
20	,
21	případně
22	sociální
23	dávky
24	odborů
25	sociální
26	péče
27	.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	3	case
2	hlavním	ADJ	3	amod
3	městě	NOUN	4	obl
4	je	VERB	0	root
5	nízká	ADJ	6	amod
6	nezaměstnanost	NOUN	4	nsubj
7	a	CCONJ	14	cc
8	zdravotně	ADV	9	advmod
9	postižení	ADJ	14	nsubj
10	většinou	ADV	14	advmod
11	v	ADP	12	case
12	evidenci	NOUN	14	obl
13	nezaměstnaných	NOUN	12	nmod
14	nefigurují	VERB	4	conj
15	,	PUNCT	17	punct
16	protože	SCONJ	17	mark
17	pobírají	VERB	14	advcl
18	invalidní	ADJ	19	amod
19	důchod	NOUN	17	obj
20	,	PUNCT	23	punct
21	případně	ADV	23	cc
22	sociální	ADJ	23	amod
23	dávky	NOUN	19	conj
24	odborů	NOUN	23	nmod
25	sociální	ADJ	26	amod
26	péče	NOUN	24	nmod
27	.	PUNCT	4	punct