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:
Po dohodě se Slovenskou republikou byly první dva dluhy rozděleny v poměru dvě ku jedné a v případě československých podniků podle toho, který byl dodavatelem zboží do Ruska.
Postion	Tokenization
1	Po
2	dohodě
3	se
4	Slovenskou
5	republikou
6	byly
7	první
8	dva
9	dluhy
10	rozděleny
11	v
12	poměru
13	dvě
14	ku
15	jedné
16	_
17	a
18	v
19	případě
20	československých
21	podniků
22	podle
23	toho
24	,
25	který
26	byl
27	dodavatelem
28	zboží
29	do
30	Ruska
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Po	ADP	2	case
2	dohodě	NOUN	10	obl
3	se	ADP	5	case
4	Slovenskou	ADJ	5	amod
5	republikou	NOUN	2	nmod
6	byly	AUX	10	aux:pass
7	první	ADJ	9	amod
8	dva	NUM	9	nummod
9	dluhy	NOUN	10	nsubj:pass
10	rozděleny	ADJ	0	root
11	v	ADP	12	case
12	poměru	NOUN	10	obl
13	dvě	NUM	12	nummod
14	ku	ADP	15	case
15	jedné	NUM	13	compound
16	_	_	None	_
17	a	CCONJ	20	cc
18	v	ADP	20	case
19	případě	NOUN	17	fixed
20	československých	ADJ	20	amod
21	podniků	NOUN	10	conj
22	podle	ADP	22	case
23	toho	DET	20	orphan
24	,	PUNCT	26	punct
25	který	DET	26	nsubj
26	byl	AUX	26	cop
27	dodavatelem	NOUN	22	acl:relcl
28	zboží	NOUN	26	nmod
29	do	ADP	29	case
30	Ruska	PROPN	27	nmod
31	.	PUNCT	10	punct