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: KNIHY: V době, kdy u nás nezaměstnanost poklesla téměř na tři procenta, může vyznívat titul studie PETRA MAREŠE NEZAMĚSTNANOST JAKO SOCIÁLNÍ PROBLÉM (vydalo Sociologické nakladatelství- SLON) poněkud nepatřičně.
Position	Tokenization	UPOS	Head	Deprel
1	KNIHY	NOUN	0	root
2	:	PUNCT	16	punct
3	V	ADP	4	case
4	době	NOUN	16	obl
5	,	PUNCT	10	punct
6	kdy	ADV	10	advmod
7	u	ADP	8	case
8	nás	PRON	10	obl
9	nezaměstnanost	NOUN	10	nsubj
10	poklesla	VERB	4	acl:relcl
11	téměř	ADV	14	advmod:emph
12	na	ADP	14	case
13	tři	NUM	14	nummod
14	procenta	NOUN	10	obl:arg
15	,	PUNCT	10	punct
16	může	VERB	1	appos
17	vyznívat	VERB	16	xcomp
18	titul	NOUN	16	nsubj
19	studie	NOUN	18	nmod
20	PETRA	PROPN	19	nmod
21	MAREŠE	PROPN	20	flat
22	NEZAMĚSTNANOST	NOUN	18	nmod
23	JAKO	SCONJ	25	mark
24	SOCIÁLNÍ	ADJ	25	amod
25	PROBLÉM	NOUN	22	xcomp
26	(	PUNCT	27	punct
27	vydalo	VERB	22	parataxis
28	Sociologické	ADJ	29	amod
29	nakladatelství	NOUN	27	nsubj
30	-	PUNCT	31	punct
31	SLON	NOUN	29	appos
32	)	PUNCT	27	punct
33	poněkud	ADV	34	advmod
34	nepatřičně	ADV	17	advmod
35	.	PUNCT	1	punct