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:
Z výsledků, které získali autoři článku mj. vyplývá, že mnohé obyčejné potraviny by podle kritérií uplatňovaných na syntetické látky vůbec neprošly.
Postion	Tokenization
1	Z
2	výsledků
3	,
4	které
5	získali
6	autoři
7	článku
8	mj
9	.
10	vyplývá
11	,
12	že
13	mnohé
14	obyčejné
15	potraviny
16	by
17	podle
18	kritérií
19	uplatňovaných
20	na
21	syntetické
22	látky
23	vůbec
24	neprošly
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Z	ADP	2	case
2	výsledků	NOUN	10	obl:arg
3	,	PUNCT	5	punct
4	které	DET	5	obj
5	získali	VERB	2	acl:relcl
6	autoři	NOUN	5	nsubj
7	článku	NOUN	6	nmod
8	mj	ADV	10	advmod
9	.	PUNCT	8	punct
10	vyplývá	VERB	0	root
11	,	PUNCT	24	punct
12	že	SCONJ	24	mark
13	mnohé	ADJ	15	amod
14	obyčejné	ADJ	15	amod
15	potraviny	NOUN	24	nsubj
16	by	AUX	24	aux
17	podle	ADP	18	case
18	kritérií	NOUN	24	obl
19	uplatňovaných	ADJ	18	amod
20	na	ADP	22	case
21	syntetické	ADJ	22	amod
22	látky	NOUN	19	obl:arg
23	vůbec	ADV	24	advmod:emph
24	neprošly	VERB	10	csubj
25	.	PUNCT	10	punct