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:
Nixdorf plánuje v příštím roce prodat přes půl milionu osobních počítačů, z toho ekonomická (ergonometrická a ekologická) řada SCENIC má tvořit 80%.
Postion	Tokenization
1	Nixdorf
2	plánuje
3	v
4	příštím
5	roce
6	prodat
7	přes
8	půl
9	milionu
10	osobních
11	počítačů
12	,
13	z
14	toho
15	ekonomická
16	(
17	ergonometrická
18	a
19	ekologická
20	)
21	řada
22	SCENIC
23	má
24	tvořit
25	80
26	%
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Nixdorf	PROPN	2	nsubj
2	plánuje	VERB	0	root
3	v	ADP	5	case
4	příštím	ADJ	5	amod
5	roce	NOUN	6	obl
6	prodat	VERB	2	xcomp
7	přes	ADP	8	case
8	půl	NOUN	6	obl:arg
9	milionu	NOUN	8	nmod
10	osobních	ADJ	11	amod
11	počítačů	NOUN	9	nmod
12	,	PUNCT	23	punct
13	z	ADP	14	case
14	toho	DET	26	det
15	ekonomická	ADJ	21	amod
16	(	PUNCT	17	punct
17	ergonometrická	ADJ	15	conj
18	a	CCONJ	19	cc
19	ekologická	ADJ	15	conj
20	)	PUNCT	15	punct
21	řada	NOUN	23	nsubj
22	SCENIC	PROPN	21	nmod
23	má	VERB	2	conj
24	tvořit	VERB	23	xcomp
25	80	NUM	24	obj
26	%	SYM	25	nmod
27	.	PUNCT	2	punct