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 více než tisíce látek, které jsou v šálku kávy obsaženy, byla karcinogenita testována pouze u 26, z nichž 19 bylo pozitivních nejméně v jednom testu.
Postion	Tokenization
1	Z
2	více
3	než
4	tisíce
5	látek
6	,
7	které
8	jsou
9	v
10	šálku
11	kávy
12	obsaženy
13	,
14	byla
15	karcinogenita
16	testována
17	pouze
18	u
19	26
20	,
21	z
22	nichž
23	19
24	bylo
25	pozitivních
26	nejméně
27	v
28	jednom
29	testu
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Z	ADP	5	case
2	více	ADV	5	advmod
3	než	SCONJ	4	mark
4	tisíce	NOUN	2	obl
5	látek	NOUN	19	nmod
6	,	PUNCT	12	punct
7	které	DET	12	nsubj
8	jsou	AUX	12	cop
9	v	ADP	10	case
10	šálku	NOUN	12	obl
11	kávy	NOUN	10	nmod
12	obsaženy	ADJ	5	acl:relcl
13	,	PUNCT	12	punct
14	byla	AUX	16	aux:pass
15	karcinogenita	NOUN	16	nsubj:pass
16	testována	ADJ	0	root
17	pouze	ADV	19	advmod:emph
18	u	ADP	19	case
19	26	NUM	16	obl
20	,	PUNCT	25	punct
21	z	ADP	22	case
22	nichž	PRON	23	nmod
23	19	NUM	25	nsubj
24	bylo	AUX	25	cop
25	pozitivních	ADJ	19	acl:relcl
26	nejméně	ADV	29	advmod:emph
27	v	ADP	29	case
28	jednom	NUM	29	nummod
29	testu	NOUN	25	obl
30	.	PUNCT	16	punct