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 text: Servomotory v sedadlech řidiče i spolujezdce umožňují najít opravdu tu nejideálnější polohu, v případě místa u volantu jsou pak k dispozici dvě paměti pro uložení a pohotové vyvolání právě té vaší zvolené varianty.
Position	Tokenization	UPOS	Head	Deprel
1	Servomotory	NOUN	7	nsubj
2	v	ADP	3	case
3	sedadlech	NOUN	1	nmod
4	řidiče	NOUN	3	nmod
5	i	CCONJ	6	cc
6	spolujezdce	NOUN	4	conj
7	umožňují	VERB	0	root
8	najít	VERB	7	xcomp
9	opravdu	ADV	8	advmod
10	tu	DET	12	det
11	nejideálnější	ADJ	12	amod
12	polohu	NOUN	8	obj
13	,	PUNCT	19	punct
14	v	ADP	15	case
15	případě	NOUN	19	obl
16	místa	NOUN	15	nmod
17	u	ADP	18	case
18	volantu	NOUN	16	nmod
19	jsou	VERB	7	conj
20	pak	ADV	19	advmod
21	k	ADP	22	case
22	dispozici	NOUN	19	obl
23	dvě	NUM	24	nummod
24	paměti	NOUN	19	nsubj
25	pro	ADP	26	case
26	uložení	NOUN	24	nmod
27	a	CCONJ	29	cc
28	pohotové	ADJ	29	amod
29	vyvolání	NOUN	26	conj
30	právě	ADV	34	advmod:emph
31	té	DET	34	det
32	vaší	DET	34	det
33	zvolené	ADJ	34	amod
34	varianty	NOUN	29	nmod
35	.	PUNCT	7	punct