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:
Podle Barenda zatím nelze říci, nakolik se euthanasie provádí i nadále bez ohlášení a nakolik se nizozemští lékaři "legalizace" paradoxně bojí.
Postion	Tokenization
1	Podle
2	Barenda
3	zatím
4	nelze
5	říci
6	,
7	nakolik
8	se
9	euthanasie
10	provádí
11	i
12	nadále
13	bez
14	ohlášení
15	a
16	nakolik
17	se
18	nizozemští
19	lékaři
20	"
21	legalizace
22	"
23	paradoxně
24	bojí
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Podle	ADP	2	case
2	Barenda	PROPN	4	obl
3	zatím	ADV	4	advmod
4	nelze	VERB	0	root
5	říci	VERB	4	csubj
6	,	PUNCT	10	punct
7	nakolik	ADV	10	advmod
8	se	PRON	10	expl:pass
9	euthanasie	NOUN	10	nsubj:pass
10	provádí	VERB	5	ccomp
11	i	CCONJ	12	advmod:emph
12	nadále	ADV	10	advmod
13	bez	ADP	14	case
14	ohlášení	NOUN	10	obl
15	a	CCONJ	24	cc
16	nakolik	ADV	24	advmod
17	se	PRON	24	expl:pv
18	nizozemští	ADJ	19	amod
19	lékaři	NOUN	24	nsubj
20	"	PUNCT	21	punct
21	legalizace	NOUN	24	obl:arg
22	"	PUNCT	21	punct
23	paradoxně	ADV	24	advmod
24	bojí	VERB	10	conj
25	.	PUNCT	4	punct