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:
Obdobné posuny zaznamenaly i ostatní benzíny včetně nafty, byť se i v tomto případě snížila výstupní cena bez daní z 5350 na 5150 Kč za tunu.
Postion	Tokenization
1	Obdobné
2	posuny
3	zaznamenaly
4	i
5	ostatní
6	benzíny
7	včetně
8	nafty
9	,
10	byť
11	se
12	i
13	v
14	tomto
15	případě
16	snížila
17	výstupní
18	cena
19	bez
20	daní
21	z
22	5350
23	na
24	5150
25	Kč
26	za
27	tunu
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Obdobné	ADJ	2	amod
2	posuny	NOUN	3	obj
3	zaznamenaly	VERB	0	root
4	i	CCONJ	6	advmod:emph
5	ostatní	ADJ	6	amod
6	benzíny	NOUN	3	nsubj
7	včetně	ADV	8	case
8	nafty	NOUN	6	nmod
9	,	PUNCT	16	punct
10	byť	SCONJ	16	mark
11	se	PRON	16	expl:pass
12	i	CCONJ	15	advmod:emph
13	v	ADP	15	case
14	tomto	DET	15	det
15	případě	NOUN	16	obl
16	snížila	VERB	3	advcl
17	výstupní	ADJ	18	amod
18	cena	NOUN	16	nsubj:pass
19	bez	ADP	20	case
20	daní	NOUN	18	nmod
21	z	ADP	22	case
22	5350	NUM	16	dep
23	na	ADP	24	case
24	5150	NUM	16	obl:arg
25	Kč	NOUN	24	nmod
26	za	ADP	27	case
27	tunu	NOUN	25	nmod
28	.	PUNCT	3	punct