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:
Jak jsme ovšem včera ověřili, ani v největším servisu Mototechny v Ústí nad Labem, ani v českobudějovických a brněnských servisech o Auto Deltě nevědí.
Postion	Tokenization
1	Jak
2	jsme
3	ovšem
4	včera
5	ověřili
6	,
7	ani
8	v
9	největším
10	servisu
11	Mototechny
12	v
13	Ústí
14	nad
15	Labem
16	,
17	ani
18	v
19	českobudějovických
20	a
21	brněnských
22	servisech
23	o
24	Auto
25	Deltě
26	nevědí
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Jak	ADV	5	advmod
2	jsme	AUX	5	aux
3	ovšem	CCONJ	5	cc
4	včera	ADV	5	advmod
5	ověřili	VERB	26	parataxis
6	,	PUNCT	5	punct
7	ani	CCONJ	10	cc
8	v	ADP	10	case
9	největším	ADJ	10	amod
10	servisu	NOUN	26	obl
11	Mototechny	PROPN	10	nmod
12	v	ADP	13	case
13	Ústí	PROPN	11	nmod
14	nad	ADP	15	case
15	Labem	PROPN	13	nmod
16	,	PUNCT	22	punct
17	ani	CCONJ	22	cc
18	v	ADP	22	case
19	českobudějovických	ADJ	22	amod
20	a	CCONJ	21	cc
21	brněnských	ADJ	19	conj
22	servisech	NOUN	10	conj
23	o	ADP	25	case
24	Auto	NOUN	25	nmod
25	Deltě	NOUN	26	obl:arg
26	nevědí	VERB	0	root
27	.	PUNCT	26	punct