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: I když těmto výsledkům nelze přikládat přílišnou váhu, protože účast voličů je nižší než při volbách do Spolkového sněmu, je podle starosty Lichtenbergu Gottfrieda Muchy evidentní, že role populistické PDS ve východní části Berlína vzrostla.
Position	Tokenization	UPOS	Head	Deprel
1	I	CCONJ	5	mark
2	když	SCONJ	1	fixed
3	těmto	DET	4	det
4	výsledkům	NOUN	6	obl:arg
5	nelze	VERB	28	advcl
6	přikládat	VERB	5	csubj
7	přílišnou	ADJ	8	amod
8	váhu	NOUN	6	obj
9	,	PUNCT	14	punct
10	protože	SCONJ	14	mark
11	účast	NOUN	14	nsubj
12	voličů	NOUN	11	nmod
13	je	AUX	14	cop
14	nižší	ADJ	5	advcl
15	než	SCONJ	17	mark
16	při	ADP	17	case
17	volbách	NOUN	14	dep
18	do	ADP	20	case
19	Spolkového	ADJ	20	amod
20	sněmu	NOUN	17	nmod
21	,	PUNCT	5	punct
22	je	AUX	28	cop
23	podle	ADP	24	case
24	starosty	NOUN	28	obl
25	Lichtenbergu	PROPN	24	nmod
26	Gottfrieda	PROPN	24	flat
27	Muchy	PROPN	24	flat
28	evidentní	ADJ	0	root
29	,	PUNCT	38	punct
30	že	SCONJ	38	mark
31	role	NOUN	38	nsubj
32	populistické	ADJ	33	amod
33	PDS	PROPN	31	nmod
34	ve	ADP	36	case
35	východní	ADJ	36	amod
36	části	NOUN	31	nmod
37	Berlína	PROPN	36	nmod
38	vzrostla	VERB	28	csubj
39	.	PUNCT	28	punct