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:
Skutečný olej pak sami nalili do mlýnského náhonu, kde Prospecta Liberec předvedla novinku, kterou je zařízení BIMBO pro sběr ropných látek z vodní hladiny nahrazující Vapex.
Postion	Tokenization
1	Skutečný
2	olej
3	pak
4	sami
5	nalili
6	do
7	mlýnského
8	náhonu
9	,
10	kde
11	Prospecta
12	Liberec
13	předvedla
14	novinku
15	,
16	kterou
17	je
18	zařízení
19	BIMBO
20	pro
21	sběr
22	ropných
23	látek
24	z
25	vodní
26	hladiny
27	nahrazující
28	Vapex
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Skutečný	ADJ	2	amod
2	olej	NOUN	5	iobj
3	pak	ADV	5	advmod
4	sami	DET	5	xcomp
5	nalili	VERB	0	root
6	do	ADP	8	case
7	mlýnského	ADJ	8	amod
8	náhonu	NOUN	5	obl
9	,	PUNCT	13	punct
10	kde	ADV	13	advmod
11	Prospecta	PROPN	13	nsubj
12	Liberec	PROPN	11	nmod
13	předvedla	VERB	8	acl:relcl
14	novinku	NOUN	13	obj
15	,	PUNCT	16	punct
16	kterou	DET	14	acl:relcl
17	je	AUX	16	cop
18	zařízení	NOUN	16	nsubj
19	BIMBO	PROPN	18	nmod
20	pro	ADP	21	case
21	sběr	NOUN	18	nmod
22	ropných	ADJ	23	amod
23	látek	NOUN	21	nmod
24	z	ADP	26	case
25	vodní	ADJ	26	amod
26	hladiny	NOUN	21	nmod
27	nahrazující	ADJ	18	amod
28	Vapex	NOUN	27	obj
29	.	PUNCT	5	punct