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:
Kompletní nabídku osobních počítačů od notebooků přes stolní modely až po víceprocesorové servery včera v Praze představila Digital Equipment Corporation, třetí největší výrobce počítačů v USA.
Postion	Tokenization
1	Kompletní
2	nabídku
3	osobních
4	počítačů
5	od
6	notebooků
7	přes
8	stolní
9	modely
10	až
11	po
12	víceprocesorové
13	servery
14	včera
15	v
16	Praze
17	představila
18	Digital
19	Equipment
20	Corporation
21	,
22	třetí
23	největší
24	výrobce
25	počítačů
26	v
27	USA
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Kompletní	ADJ	2	amod
2	nabídku	NOUN	17	obj
3	osobních	ADJ	4	amod
4	počítačů	NOUN	2	nmod
5	od	ADP	6	case
6	notebooků	NOUN	2	nmod
7	přes	ADP	9	case
8	stolní	ADJ	9	amod
9	modely	NOUN	2	nmod
10	až	PART	13	advmod:emph
11	po	ADP	13	case
12	víceprocesorové	ADJ	13	amod
13	servery	NOUN	2	nmod
14	včera	ADV	17	advmod
15	v	ADP	16	case
16	Praze	PROPN	17	obl
17	představila	VERB	0	root
18	Digital	PROPN	19	nmod
19	Equipment	PROPN	17	nsubj
20	Corporation	PROPN	19	flat:foreign
21	,	PUNCT	24	punct
22	třetí	ADJ	24	amod
23	největší	ADJ	24	amod
24	výrobce	NOUN	19	appos
25	počítačů	NOUN	24	nmod
26	v	ADP	27	case
27	USA	PROPN	23	obl
28	.	PUNCT	17	punct