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:
Proti splnění tohoto závazku Pragoimpex upustí od dalšího soudního řízení a předloží nové objednávky za postupně sjednávané ceny na až 50000 tun ocelářských výrobků.
Postion	Tokenization
1	Proti
2	splnění
3	tohoto
4	závazku
5	Pragoimpex
6	upustí
7	od
8	dalšího
9	soudního
10	řízení
11	a
12	předloží
13	nové
14	objednávky
15	za
16	postupně
17	sjednávané
18	ceny
19	na
20	až
21	50000
22	tun
23	ocelářských
24	výrobků
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Proti	ADP	2	case
2	splnění	NOUN	6	obl
3	tohoto	DET	4	det
4	závazku	NOUN	2	nmod
5	Pragoimpex	PROPN	6	nsubj
6	upustí	VERB	0	root
7	od	ADP	10	case
8	dalšího	ADJ	10	amod
9	soudního	ADJ	10	amod
10	řízení	NOUN	6	obl:arg
11	a	CCONJ	12	cc
12	předloží	VERB	6	conj
13	nové	ADJ	14	amod
14	objednávky	NOUN	12	obj
15	za	ADP	18	case
16	postupně	ADV	17	advmod
17	sjednávané	ADJ	18	amod
18	ceny	NOUN	14	nmod
19	na	ADP	22	case
20	až	PART	21	advmod:emph
21	50000	NUM	22	nummod:gov
22	tun	NOUN	14	nmod
23	ocelářských	ADJ	24	amod
24	výrobků	NOUN	22	nmod
25	.	PUNCT	6	punct