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:
Vysává každou minutu tuny materiálu, z něhož jsou tříděny diamanty, které jsou z bezpečnostních důvodů okamžitě zakonzervovány do plechovek na automatické výrobní lince.
Postion	Tokenization
1	Vysává
2	každou
3	minutu
4	tuny
5	materiálu
6	,
7	z
8	něhož
9	jsou
10	tříděny
11	diamanty
12	,
13	které
14	jsou
15	z
16	bezpečnostních
17	důvodů
18	okamžitě
19	zakonzervovány
20	do
21	plechovek
22	na
23	automatické
24	výrobní
25	lince
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Vysává	VERB	0	root
2	každou	DET	3	det
3	minutu	NOUN	1	obl
4	tuny	NOUN	1	obj
5	materiálu	NOUN	4	nmod
6	,	PUNCT	10	punct
7	z	ADP	8	case
8	něhož	PRON	10	obl
9	jsou	AUX	10	aux:pass
10	tříděny	ADJ	5	amod
11	diamanty	NOUN	10	nsubj:pass
12	,	PUNCT	19	punct
13	které	DET	19	nsubj:pass
14	jsou	AUX	19	aux:pass
15	z	ADP	17	case
16	bezpečnostních	ADJ	17	amod
17	důvodů	NOUN	19	obl
18	okamžitě	ADV	19	advmod
19	zakonzervovány	ADJ	11	amod
20	do	ADP	21	case
21	plechovek	NOUN	19	obl
22	na	ADP	25	case
23	automatické	ADJ	25	amod
24	výrobní	ADJ	25	amod
25	lince	NOUN	19	obl
26	.	PUNCT	1	punct