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:
Dnes se tento počet snížil na asi půl milionu, jenže důvodem poklesu je především skutečnost, že ten, kdo není zaměstnán déle než rok, již podporu nedostane.
Postion	Tokenization
1	Dnes
2	se
3	tento
4	počet
5	snížil
6	na
7	asi
8	půl
9	milionu
10	,
11	jenže
12	důvodem
13	poklesu
14	je
15	především
16	skutečnost
17	,
18	že
19	ten
20	,
21	kdo
22	není
23	zaměstnán
24	déle
25	než
26	rok
27	,
28	již
29	podporu
30	nedostane
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Dnes	ADV	5	advmod
2	se	PRON	5	expl:pv
3	tento	DET	4	det
4	počet	NOUN	5	nsubj
5	snížil	VERB	0	root
6	na	ADP	8	case
7	asi	PART	8	advmod:emph
8	půl	NOUN	5	obl:arg
9	milionu	NOUN	8	nmod
10	,	PUNCT	12	punct
11	jenže	CCONJ	12	cc
12	důvodem	NOUN	5	conj
13	poklesu	NOUN	12	nmod
14	je	AUX	12	cop
15	především	ADV	16	advmod:emph
16	skutečnost	NOUN	12	nsubj
17	,	PUNCT	30	punct
18	že	SCONJ	30	mark
19	ten	DET	30	nsubj
20	,	PUNCT	23	punct
21	kdo	PRON	23	nsubj
22	není	AUX	23	cop
23	zaměstnán	ADJ	19	acl:relcl
24	déle	ADV	23	advmod
25	než	SCONJ	26	mark
26	rok	NOUN	24	obl
27	,	PUNCT	23	punct
28	již	ADV	30	advmod
29	podporu	NOUN	30	obj
30	nedostane	VERB	16	acl
31	.	PUNCT	5	punct