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:
Zároveň však i vládní ekonomové docházejí stále více k názoru, že loni přijatý způsob oddlužení podniků pomocí injekce zhruba 50 miliard korun získaných obligacemi fondů národního majetku byl nešťastným a nepovedeným experimentem.
Postion	Tokenization
1	Zároveň
2	však
3	i
4	vládní
5	ekonomové
6	docházejí
7	stále
8	více
9	k
10	názoru
11	,
12	že
13	loni
14	přijatý
15	způsob
16	oddlužení
17	podniků
18	pomocí
19	injekce
20	zhruba
21	50
22	miliard
23	korun
24	získaných
25	obligacemi
26	fondů
27	národního
28	majetku
29	byl
30	nešťastným
31	a
32	nepovedeným
33	experimentem
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Zároveň	ADV	6	advmod
2	však	CCONJ	6	cc
3	i	CCONJ	5	advmod:emph
4	vládní	ADJ	5	amod
5	ekonomové	NOUN	6	nsubj
6	docházejí	VERB	0	root
7	stále	ADV	8	advmod
8	více	ADV	6	advmod
9	k	ADP	10	case
10	názoru	NOUN	6	obl:arg
11	,	PUNCT	33	punct
12	že	SCONJ	33	mark
13	loni	ADV	14	advmod
14	přijatý	ADJ	15	amod
15	způsob	NOUN	33	nsubj
16	oddlužení	NOUN	15	nmod
17	podniků	NOUN	16	nmod
18	pomocí	ADP	19	case
19	injekce	NOUN	16	nmod
20	zhruba	ADV	22	advmod:emph
21	50	NUM	22	nummod
22	miliard	NOUN	19	nmod
23	korun	NOUN	22	nmod
24	získaných	ADJ	22	amod
25	obligacemi	NOUN	24	obl
26	fondů	NOUN	25	nmod
27	národního	ADJ	28	amod
28	majetku	NOUN	26	nmod
29	byl	AUX	33	cop
30	nešťastným	ADJ	33	amod
31	a	CCONJ	32	cc
32	nepovedeným	ADJ	30	conj
33	experimentem	NOUN	10	acl
34	.	PUNCT	6	punct