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:
Hofmanova satirická próza představuje inteligentní čtení na léto - jenomže vyšla v nákladu nižším než bibliofilském, určeném pouze pro přátele a recenzenty.
Postion	Tokenization
1	Hofmanova
2	satirická
3	próza
4	představuje
5	inteligentní
6	čtení
7	na
8	léto
9	-
10	jenomže
11	vyšla
12	v
13	nákladu
14	nižším
15	než
16	bibliofilském
17	,
18	určeném
19	pouze
20	pro
21	přátele
22	a
23	recenzenty
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Hofmanova	ADJ	3	amod
2	satirická	ADJ	3	amod
3	próza	NOUN	4	nsubj
4	představuje	VERB	0	root
5	inteligentní	ADJ	6	amod
6	čtení	NOUN	4	obj
7	na	ADP	8	case
8	léto	NOUN	6	nmod
9	-	PUNCT	11	punct
10	jenomže	CCONJ	11	cc
11	vyšla	VERB	4	conj
12	v	ADP	13	case
13	nákladu	NOUN	11	obl
14	nižším	ADJ	13	amod
15	než	SCONJ	16	mark
16	bibliofilském	ADJ	14	advcl
17	,	PUNCT	18	punct
18	určeném	ADJ	13	amod
19	pouze	ADV	21	advmod:emph
20	pro	ADP	21	case
21	přátele	NOUN	18	obl:arg
22	a	CCONJ	23	cc
23	recenzenty	NOUN	21	conj
24	.	PUNCT	4	punct