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:
Zajímavé je, že osobní spotřeba ve východní části Německa byla loni v porovnání s předchozím rokem vyšší pouze o 0.3 %.
Postion	Tokenization
1	Zajímavé
2	je
3	,
4	že
5	osobní
6	spotřeba
7	ve
8	východní
9	části
10	Německa
11	byla
12	loni
13	v
14	porovnání
15	s
16	předchozím
17	rokem
18	vyšší
19	pouze
20	o
21	0.3
22	%
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Zajímavé	ADJ	0	root
2	je	AUX	1	cop
3	,	PUNCT	18	punct
4	že	SCONJ	18	mark
5	osobní	ADJ	6	amod
6	spotřeba	NOUN	18	nsubj
7	ve	ADP	9	case
8	východní	ADJ	9	amod
9	části	NOUN	18	obl
10	Německa	PROPN	9	nmod
11	byla	AUX	18	cop
12	loni	ADV	18	advmod
13	v	ADP	17	case
14	porovnání	NOUN	13	fixed
15	s	ADP	13	fixed
16	předchozím	ADJ	17	amod
17	rokem	NOUN	18	obl
18	vyšší	ADJ	1	csubj
19	pouze	ADV	21	advmod:emph
20	o	ADP	21	case
21	0.3	NUM	18	obl
22	%	SYM	21	nmod
23	.	PUNCT	1	punct