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:
Navíc díky rozměrům si výrobce mohl dovolit umístit do kabiny opravdu pohodlná sedadla, jejichž počet lze ve třech řadách za sebou zvýšit až na sedm.
Postion	Tokenization
1	Navíc
2	díky
3	rozměrům
4	si
5	výrobce
6	mohl
7	dovolit
8	umístit
9	do
10	kabiny
11	opravdu
12	pohodlná
13	sedadla
14	,
15	jejichž
16	počet
17	lze
18	ve
19	třech
20	řadách
21	za
22	sebou
23	zvýšit
24	až
25	na
26	sedm
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Navíc	ADV	6	advmod
2	díky	ADP	3	case
3	rozměrům	NOUN	6	obl
4	si	PRON	7	expl:pv
5	výrobce	NOUN	6	nsubj
6	mohl	VERB	0	root
7	dovolit	VERB	6	xcomp
8	umístit	VERB	7	xcomp
9	do	ADP	10	case
10	kabiny	NOUN	8	obl
11	opravdu	ADV	12	advmod
12	pohodlná	ADJ	13	amod
13	sedadla	NOUN	8	obj
14	,	PUNCT	17	punct
15	jejichž	DET	16	det
16	počet	NOUN	23	obj
17	lze	VERB	13	acl:relcl
18	ve	ADP	20	case
19	třech	NUM	20	nummod
20	řadách	NOUN	23	obl
21	za	ADP	22	case
22	sebou	PRON	20	nmod
23	zvýšit	VERB	17	csubj
24	až	PART	26	advmod:emph
25	na	ADP	26	case
26	sedm	NUM	23	obl:arg
27	.	PUNCT	6	punct