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:
Ten zůstává i při vyšších rychlostech, protože u vznětových motorů křivka spotřeby nestoupá tak strmě, i když má řidič poněkud těžší nohu na pedálu plynu.
Postion	Tokenization
1	Ten
2	zůstává
3	i
4	při
5	vyšších
6	rychlostech
7	,
8	protože
9	u
10	vznětových
11	motorů
12	křivka
13	spotřeby
14	nestoupá
15	tak
16	strmě
17	,
18	i
19	když
20	má
21	řidič
22	poněkud
23	těžší
24	nohu
25	na
26	pedálu
27	plynu
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Ten	DET	2	nsubj
2	zůstává	VERB	0	root
3	i	CCONJ	6	advmod:emph
4	při	ADP	6	case
5	vyšších	ADJ	6	amod
6	rychlostech	NOUN	2	obl
7	,	PUNCT	14	punct
8	protože	SCONJ	14	mark
9	u	ADP	11	case
10	vznětových	ADJ	11	amod
11	motorů	NOUN	14	obl
12	křivka	NOUN	14	nsubj
13	spotřeby	NOUN	12	nmod
14	nestoupá	VERB	2	advcl
15	tak	ADV	16	advmod
16	strmě	ADV	14	advmod
17	,	PUNCT	20	punct
18	i	CCONJ	20	mark
19	když	SCONJ	18	fixed
20	má	VERB	14	advcl
21	řidič	NOUN	20	nsubj
22	poněkud	ADV	23	advmod
23	těžší	ADJ	24	amod
24	nohu	NOUN	20	obj
25	na	ADP	26	case
26	pedálu	NOUN	20	obl
27	plynu	NOUN	26	nmod
28	.	PUNCT	2	punct