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:
Společnostem Progress Software Corp. a ITC PragoData, které věnovaly pěti českým vysokým školám vývojové prostředí Pogress a další programové vybavení v hodnotě už více než 5 milionů korun.
Postion	Tokenization
1	Společnostem
2	Progress
3	Software
4	Corp
5	.
6	a
7	ITC
8	PragoData
9	,
10	které
11	věnovaly
12	pěti
13	českým
14	vysokým
15	školám
16	vývojové
17	prostředí
18	Pogress
19	a
20	další
21	programové
22	vybavení
23	v
24	hodnotě
25	už
26	více
27	než
28	5
29	milionů
30	korun
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Společnostem	NOUN	0	root
2	Progress	PROPN	1	nmod
3	Software	NOUN	2	nmod
4	Corp	PROPN	3	nmod
5	.	PUNCT	4	punct
6	a	CCONJ	7	cc
7	ITC	PROPN	2	conj
8	PragoData	PROPN	7	nmod
9	,	PUNCT	11	punct
10	které	DET	11	nsubj
11	věnovaly	VERB	1	acl:relcl
12	pěti	NUM	15	nummod
13	českým	ADJ	15	amod
14	vysokým	ADJ	15	amod
15	školám	NOUN	11	obl:arg
16	vývojové	ADJ	17	amod
17	prostředí	NOUN	11	obj
18	Pogress	PROPN	17	nmod
19	a	CCONJ	22	cc
20	další	ADJ	22	amod
21	programové	ADJ	22	amod
22	vybavení	NOUN	17	conj
23	v	ADP	24	case
24	hodnotě	NOUN	17	nmod
25	už	ADV	26	advmod:emph
26	více	ADV	24	advmod
27	než	SCONJ	29	mark
28	5	NUM	29	nummod:gov
29	milionů	NOUN	26	obl
30	korun	NOUN	26	nmod
31	.	PUNCT	1	punct