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:
Obviněný přestal již v prosinci 1992 plnit svou vyživovací povinnost vůči svým třem nezaopatřeným dětem, a tak jejich matce k dnešnímu dni dluží bezmála 35 tisíc korun.
Postion	Tokenization
1	Obviněný
2	přestal
3	již
4	v
5	prosinci
6	1992
7	plnit
8	svou
9	vyživovací
10	povinnost
11	vůči
12	svým
13	třem
14	nezaopatřeným
15	dětem
16	,
17	a
18	tak
19	jejich
20	matce
21	k
22	dnešnímu
23	dni
24	dluží
25	bezmála
26	35
27	tisíc
28	korun
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Obviněný	ADJ	2	nsubj
2	přestal	VERB	0	root
3	již	ADV	5	advmod:emph
4	v	ADP	5	case
5	prosinci	NOUN	2	obl
6	1992	NUM	5	nummod
7	plnit	VERB	2	xcomp
8	svou	DET	10	det
9	vyživovací	ADJ	10	amod
10	povinnost	NOUN	7	obj
11	vůči	ADP	15	case
12	svým	DET	15	det
13	třem	NUM	15	nummod
14	nezaopatřeným	ADJ	15	amod
15	dětem	NOUN	10	nmod
16	,	PUNCT	24	punct
17	a	CCONJ	24	cc
18	tak	CCONJ	24	cc
19	jejich	DET	20	det
20	matce	NOUN	24	obl:arg
21	k	ADP	23	case
22	dnešnímu	ADJ	23	amod
23	dni	NOUN	24	obl
24	dluží	VERB	2	conj
25	bezmála	ADV	26	advmod:emph
26	35	NUM	28	nummod:gov
27	tisíc	NUM	28	nummod:gov
28	korun	NOUN	24	obj
29	.	PUNCT	2	punct