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:
Vzhledem k tomu, že některé deníky nepřinesly úplnou informaci a na ministerstvo práce a sociálních věcí volali včera zděšení důchodci, proč už nebudou dostávat státní vyrovnávací příspěvek, opakujeme: starobní důchody by měly být zvýšeny o pět procent a pevnou částku 200 korun.
Postion	Tokenization
1	Vzhledem
2	k
3	tomu
4	,
5	že
6	některé
7	deníky
8	nepřinesly
9	úplnou
10	informaci
11	a
12	na
13	ministerstvo
14	práce
15	a
16	sociálních
17	věcí
18	volali
19	včera
20	zděšení
21	důchodci
22	,
23	proč
24	už
25	nebudou
26	dostávat
27	státní
28	vyrovnávací
29	příspěvek
30	,
31	opakujeme
32	:
33	starobní
34	důchody
35	by
36	měly
37	být
38	zvýšeny
39	o
40	pět
41	procent
42	a
43	pevnou
44	částku
45	200
46	korun
47	.
Position	Tokenization	UPOS	Head	Deprel
1	Vzhledem	ADP	3	case
2	k	ADP	1	fixed
3	tomu	DET	31	obl
4	,	PUNCT	8	punct
5	že	SCONJ	8	mark
6	některé	DET	7	det
7	deníky	NOUN	8	nsubj
8	nepřinesly	VERB	3	acl
9	úplnou	ADJ	10	amod
10	informaci	NOUN	8	obj
11	a	CCONJ	18	cc
12	na	ADP	13	case
13	ministerstvo	NOUN	18	obl
14	práce	NOUN	13	nmod
15	a	CCONJ	17	cc
16	sociálních	ADJ	17	amod
17	věcí	NOUN	14	conj
18	volali	VERB	8	conj
19	včera	ADV	18	advmod
20	zděšení	ADJ	21	amod
21	důchodci	NOUN	18	nsubj
22	,	PUNCT	26	punct
23	proč	ADV	26	advmod
24	už	ADV	26	advmod
25	nebudou	AUX	26	aux
26	dostávat	VERB	18	advcl
27	státní	ADJ	29	amod
28	vyrovnávací	ADJ	29	amod
29	příspěvek	NOUN	26	obj
30	,	PUNCT	8	punct
31	opakujeme	VERB	0	root
32	:	PUNCT	36	punct
33	starobní	ADJ	34	amod
34	důchody	NOUN	36	nsubj
35	by	AUX	36	aux
36	měly	VERB	31	ccomp
37	být	AUX	38	aux:pass
38	zvýšeny	ADJ	36	obj
39	o	ADP	41	case
40	pět	NUM	41	nummod:gov
41	procent	NOUN	38	obl
42	a	CCONJ	44	cc
43	pevnou	ADJ	44	amod
44	částku	NOUN	41	conj
45	200	NUM	46	nummod:gov
46	korun	NOUN	44	nmod
47	.	PUNCT	31	punct