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:
V argumentech proti adresnosti vyplácení přídavků na děti často zaznívá termín, že stát nebere jen bohatým, ale i těm, kteří se vlastním úsilím vypracovali mezi méně chudé.
Postion	Tokenization
1	V
2	argumentech
3	proti
4	adresnosti
5	vyplácení
6	přídavků
7	na
8	děti
9	často
10	zaznívá
11	termín
12	,
13	že
14	stát
15	nebere
16	jen
17	bohatým
18	,
19	ale
20	i
21	těm
22	,
23	kteří
24	se
25	vlastním
26	úsilím
27	vypracovali
28	mezi
29	méně
30	chudé
31	.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	2	case
2	argumentech	NOUN	10	obl
3	proti	ADP	4	case
4	adresnosti	NOUN	2	nmod
5	vyplácení	NOUN	4	nmod
6	přídavků	NOUN	5	nmod
7	na	ADP	8	case
8	děti	NOUN	6	nmod
9	často	ADV	10	advmod
10	zaznívá	VERB	0	root
11	termín	NOUN	10	nsubj
12	,	PUNCT	15	punct
13	že	SCONJ	15	mark
14	stát	NOUN	15	nsubj
15	nebere	VERB	11	acl
16	jen	PART	17	advmod:emph
17	bohatým	ADJ	15	obl:arg
18	,	PUNCT	21	punct
19	ale	CCONJ	21	cc
20	i	CCONJ	21	advmod:emph
21	těm	DET	17	conj
22	,	PUNCT	27	punct
23	kteří	DET	27	nsubj
24	se	PRON	27	expl:pv
25	vlastním	ADJ	26	amod
26	úsilím	NOUN	27	obl
27	vypracovali	VERB	21	acl:relcl
28	mezi	ADP	30	case
29	méně	ADV	30	advmod
30	chudé	ADJ	27	obl
31	.	PUNCT	10	punct