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:
Na občasné stížnosti zejména politiků, že některé makroekonomické odhady jsou podceněné vůči skutečnosti, J. Fischer namítá, že odchylky se vyskytují oběma směry v obvyklé četnosti a velikosti.
Postion	Tokenization
1	Na
2	občasné
3	stížnosti
4	zejména
5	politiků
6	,
7	že
8	některé
9	makroekonomické
10	odhady
11	jsou
12	podceněné
13	vůči
14	skutečnosti
15	,
16	J
17	.
18	Fischer
19	namítá
20	,
21	že
22	odchylky
23	se
24	vyskytují
25	oběma
26	směry
27	v
28	obvyklé
29	četnosti
30	a
31	velikosti
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Na	ADP	3	case
2	občasné	ADJ	3	amod
3	stížnosti	NOUN	19	obl
4	zejména	ADV	5	advmod:emph
5	politiků	NOUN	3	nmod
6	,	PUNCT	12	punct
7	že	SCONJ	12	mark
8	některé	DET	10	det
9	makroekonomické	ADJ	10	amod
10	odhady	NOUN	12	nsubj
11	jsou	AUX	12	cop
12	podceněné	ADJ	3	ccomp
13	vůči	ADP	14	case
14	skutečnosti	NOUN	12	obl
15	,	PUNCT	12	punct
16	J	PROPN	19	nsubj
17	.	PUNCT	16	punct
18	Fischer	PROPN	16	flat
19	namítá	VERB	0	root
20	,	PUNCT	24	punct
21	že	SCONJ	24	mark
22	odchylky	NOUN	24	nsubj
23	se	PRON	24	expl:pv
24	vyskytují	VERB	19	ccomp
25	oběma	NUM	26	nummod
26	směry	NOUN	24	obl
27	v	ADP	29	case
28	obvyklé	ADJ	29	amod
29	četnosti	NOUN	24	obl
30	a	CCONJ	31	cc
31	velikosti	NOUN	29	conj
32	.	PUNCT	19	punct