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:
jeho kvalifikace však nadále musela být poměrně značná, počítač byl stále tvořen několika rozměrnými plechovými skříněmi a jeho cena byla nejméně desetinásobkem ceny kvalitního osobního auta.
Postion	Tokenization
1	jeho
2	kvalifikace
3	však
4	nadále
5	musela
6	být
7	poměrně
8	značná
9	,
10	počítač
11	byl
12	stále
13	tvořen
14	několika
15	rozměrnými
16	plechovými
17	skříněmi
18	a
19	jeho
20	cena
21	byla
22	nejméně
23	desetinásobkem
24	ceny
25	kvalitního
26	osobního
27	auta
28	.
Position	Tokenization	UPOS	Head	Deprel
1	jeho	DET	2	det
2	kvalifikace	NOUN	5	nsubj
3	však	CCONJ	5	cc
4	nadále	ADV	5	advmod
5	musela	VERB	0	root
6	být	AUX	8	cop
7	poměrně	ADV	8	advmod
8	značná	ADJ	5	xcomp
9	,	PUNCT	13	punct
10	počítač	NOUN	13	nsubj:pass
11	byl	AUX	13	aux:pass
12	stále	ADV	13	advmod
13	tvořen	ADJ	5	conj
14	několika	DET	17	det:nummod
15	rozměrnými	ADJ	17	amod
16	plechovými	ADJ	17	amod
17	skříněmi	NOUN	13	obl:arg
18	a	CCONJ	23	cc
19	jeho	DET	20	det
20	cena	NOUN	23	nsubj
21	byla	AUX	23	cop
22	nejméně	ADV	23	advmod:emph
23	desetinásobkem	NOUN	13	conj
24	ceny	NOUN	23	nmod
25	kvalitního	ADJ	27	amod
26	osobního	ADJ	27	amod
27	auta	NOUN	24	nmod
28	.	PUNCT	5	punct