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 text: V rámci propopulačních opatření navrhne KDS systém nepřímých zvýhodnění rodičů s více dětmi, která nepůjdou do rukou adresátů přímo a nebudou tudíž zneužitelné sociálními skupinami navyklými žít z přídavků na děti.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	4	case
2	rámci	NOUN	1	fixed
3	propopulačních	ADJ	4	amod
4	opatření	NOUN	5	obl
5	navrhne	VERB	0	root
6	KDS	PROPN	5	nsubj
7	systém	NOUN	5	obj
8	nepřímých	ADJ	9	amod
9	zvýhodnění	NOUN	7	nmod
10	rodičů	NOUN	9	nmod
11	s	ADP	13	case
12	více	ADV	13	advmod
13	dětmi	NOUN	10	nmod
14	,	PUNCT	16	punct
15	která	DET	16	nsubj
16	nepůjdou	VERB	13	acl:relcl
17	do	ADP	18	case
18	rukou	NOUN	16	obl
19	adresátů	NOUN	18	nmod
20	přímo	ADV	16	advmod
21	a	CCONJ	24	cc
22	nebudou	AUX	24	cop
23	tudíž	CCONJ	24	advmod
24	zneužitelné	ADJ	16	conj
25	sociálními	ADJ	26	amod
26	skupinami	NOUN	24	obl:arg
27	navyklými	ADJ	26	amod
28	žít	VERB	27	xcomp
29	z	ADP	30	case
30	přídavků	NOUN	28	obl
31	na	ADP	32	case
32	děti	NOUN	30	nmod
33	.	PUNCT	5	punct