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:
"Pořád ale nejde o látku, která způsobuje, že závadná vodka páchne chemií," řekla nám o BHT vedoucí laboratoře Jana Hajšlová.
Postion	Tokenization
1	"
2	Pořád
3	ale
4	nejde
5	o
6	látku
7	,
8	která
9	způsobuje
10	,
11	že
12	závadná
13	vodka
14	páchne
15	chemií
16	,
17	"
18	řekla
19	nám
20	o
21	BHT
22	vedoucí
23	laboratoře
24	Jana
25	Hajšlová
26	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	4	punct
2	Pořád	ADV	4	advmod
3	ale	CCONJ	4	cc
4	nejde	VERB	18	ccomp
5	o	ADP	6	case
6	látku	NOUN	4	obl:arg
7	,	PUNCT	9	punct
8	která	DET	9	nsubj
9	způsobuje	VERB	6	acl:relcl
10	,	PUNCT	14	punct
11	že	SCONJ	14	mark
12	závadná	ADJ	13	amod
13	vodka	NOUN	14	nsubj
14	páchne	VERB	9	ccomp
15	chemií	NOUN	14	obl
16	,	PUNCT	4	punct
17	"	PUNCT	4	punct
18	řekla	VERB	0	root
19	nám	PRON	18	obl:arg
20	o	ADP	21	case
21	BHT	NOUN	18	obl:arg
22	vedoucí	NOUN	18	nsubj
23	laboratoře	NOUN	22	nmod
24	Jana	PROPN	22	flat
25	Hajšlová	PROPN	22	flat
26	.	PUNCT	18	punct