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:
Japonsko navrhuje technologii, při níž by tyto materiály nemusely být odstraňovány, jestliže by byla vyvinuta na robotech založená technologie zpracovávání materiálu do pelet a tyčí.
Postion	Tokenization
1	Japonsko
2	navrhuje
3	technologii
4	,
5	při
6	níž
7	by
8	tyto
9	materiály
10	nemusely
11	být
12	odstraňovány
13	,
14	jestliže
15	by
16	byla
17	vyvinuta
18	na
19	robotech
20	založená
21	technologie
22	zpracovávání
23	materiálu
24	do
25	pelet
26	a
27	tyčí
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Japonsko	PROPN	2	nsubj
2	navrhuje	VERB	0	root
3	technologii	NOUN	2	obj
4	,	PUNCT	10	punct
5	při	ADP	6	case
6	níž	PRON	10	obl
7	by	AUX	10	aux
8	tyto	DET	9	det
9	materiály	NOUN	10	nsubj
10	nemusely	VERB	3	acl:relcl
11	být	AUX	12	aux:pass
12	odstraňovány	ADJ	10	obj
13	,	PUNCT	17	punct
14	jestliže	SCONJ	17	mark
15	by	AUX	17	aux
16	byla	AUX	17	aux:pass
17	vyvinuta	ADJ	10	obl
18	na	ADP	19	case
19	robotech	NOUN	20	obl:arg
20	založená	ADJ	21	amod
21	technologie	NOUN	17	nsubj:pass
22	zpracovávání	NOUN	21	nmod
23	materiálu	NOUN	22	nmod
24	do	ADP	25	case
25	pelet	NOUN	22	nmod
26	a	CCONJ	27	cc
27	tyčí	NOUN	25	conj
28	.	PUNCT	2	punct