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:
DPI je zkratka pro dot per inch (bod na palec) a v případě tiskárny udává, kolik bodů vodorovně a svisle je mechanika tiskárny schopna na papír vytisknout.
Postion	Tokenization
1	DPI
2	je
3	zkratka
4	pro
5	dot
6	per
7	inch
8	(
9	bod
10	na
11	palec
12	)
13	a
14	v
15	případě
16	tiskárny
17	udává
18	,
19	kolik
20	bodů
21	vodorovně
22	a
23	svisle
24	je
25	mechanika
26	tiskárny
27	schopna
28	na
29	papír
30	vytisknout
31	.
Position	Tokenization	UPOS	Head	Deprel
1	DPI	NOUN	3	nsubj
2	je	AUX	3	cop
3	zkratka	NOUN	0	root
4	pro	ADP	5	case
5	dot	NOUN	3	nmod
6	per	ADP	5	flat:foreign
7	inch	NOUN	5	flat:foreign
8	(	PUNCT	9	punct
9	bod	NOUN	5	appos
10	na	ADP	11	case
11	palec	NOUN	9	nmod
12	)	PUNCT	9	punct
13	a	CCONJ	17	cc
14	v	ADP	16	case
15	případě	NOUN	14	fixed
16	tiskárny	NOUN	17	obl
17	udává	VERB	3	conj
18	,	PUNCT	27	punct
19	kolik	DET	20	det:numgov
20	bodů	NOUN	30	obj
21	vodorovně	ADV	20	advmod
22	a	CCONJ	23	cc
23	svisle	ADV	21	conj
24	je	AUX	27	cop
25	mechanika	NOUN	27	nsubj
26	tiskárny	NOUN	25	nmod
27	schopna	ADJ	17	ccomp
28	na	ADP	29	case
29	papír	NOUN	30	obl
30	vytisknout	VERB	27	xcomp
31	.	PUNCT	3	punct