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: Sabyho ovšem zpomalily nejen nevhodně vybrané pneumatiky (byly příliš široké a těžké bláto se na ně nabalovalo), ale také trucující stěrače, což na trati zpestřené mnoha hlubokými kalužemi nebyl žádný med.
Position	Tokenization	UPOS	Head	Deprel
1	Sabyho	PROPN	3	obj
2	ovšem	CCONJ	3	cc
3	zpomalily	VERB	0	root
4	nejen	PART	7	advmod:emph
5	nevhodně	ADV	6	advmod
6	vybrané	ADJ	7	amod
7	pneumatiky	NOUN	3	nsubj
8	(	PUNCT	11	punct
9	byly	AUX	11	cop
10	příliš	ADV	11	advmod
11	široké	ADJ	7	acl
12	a	CCONJ	18	cc
13	těžké	ADJ	14	amod
14	bláto	NOUN	18	nsubj
15	se	PRON	18	expl:pv
16	na	ADP	17	case
17	ně	PRON	18	obl
18	nabalovalo	VERB	11	conj
19	)	PUNCT	11	punct
20	,	PUNCT	24	punct
21	ale	CCONJ	24	cc
22	také	ADV	24	advmod:emph
23	trucující	ADJ	24	amod
24	stěrače	NOUN	7	conj
25	,	PUNCT	35	punct
26	což	PRON	35	nsubj
27	na	ADP	28	case
28	trati	NOUN	35	obl
29	zpestřené	ADJ	28	amod
30	mnoha	DET	32	det:nummod
31	hlubokými	ADJ	32	amod
32	kalužemi	NOUN	29	obl
33	nebyl	AUX	35	cop
34	žádný	DET	35	det
35	med	NOUN	3	conj
36	.	PUNCT	3	punct