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:
Od obdobných formací, které fúzují funky- rock s hip hopem, se však Senser odlišují dlouhými, tajemně houkavými předehrami a využíváním počítačových i elektronických zvuků.
Postion	Tokenization
1	Od
2	obdobných
3	formací
4	,
5	které
6	fúzují
7	funky
8	-
9	rock
10	s
11	hip
12	hopem
13	,
14	se
15	však
16	Senser
17	odlišují
18	dlouhými
19	,
20	tajemně
21	houkavými
22	předehrami
23	a
24	využíváním
25	počítačových
26	i
27	elektronických
28	zvuků
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Od	ADP	3	case
2	obdobných	ADJ	3	amod
3	formací	NOUN	17	obl:arg
4	,	PUNCT	6	punct
5	které	DET	6	nsubj
6	fúzují	VERB	3	acl:relcl
7	funky	ADV	9	advmod
8	-	PUNCT	7	punct
9	rock	NOUN	6	obj
10	s	ADP	11	case
11	hip	ADJ	6	obl:arg
12	hopem	NOUN	11	flat:foreign
13	,	PUNCT	6	punct
14	se	PRON	17	expl:pv
15	však	CCONJ	17	cc
16	Senser	PROPN	17	nsubj
17	odlišují	VERB	0	root
18	dlouhými	ADJ	22	amod
19	,	PUNCT	21	punct
20	tajemně	ADV	21	advmod
21	houkavými	ADJ	18	conj
22	předehrami	NOUN	17	obl
23	a	CCONJ	24	cc
24	využíváním	NOUN	22	conj
25	počítačových	ADJ	28	amod
26	i	CCONJ	27	cc
27	elektronických	ADJ	25	conj
28	zvuků	NOUN	24	nmod
29	.	PUNCT	17	punct