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: Důsledkem bude, že do soukromých škol už nebudou děti vybírány podle talentu, ale podle bohatství rodičů," postěžovala si nám za rodiče dětí reálného gymnázia v Praze-Vysočanech Eva Benešová.
Position	Tokenization	UPOS	Head	Deprel
1	Důsledkem	NOUN	21	ccomp
2	bude	AUX	1	cop
3	,	PUNCT	11	punct
4	že	SCONJ	11	mark
5	do	ADP	7	case
6	soukromých	ADJ	7	amod
7	škol	NOUN	11	obl
8	už	ADV	11	advmod
9	nebudou	AUX	11	aux:pass
10	děti	NOUN	11	nsubj:pass
11	vybírány	ADJ	1	nsubj
12	podle	ADP	13	case
13	talentu	NOUN	11	obl
14	,	PUNCT	17	punct
15	ale	CCONJ	17	cc
16	podle	ADP	17	case
17	bohatství	NOUN	13	conj
18	rodičů	NOUN	17	nmod
19	,	PUNCT	1	punct
20	"	PUNCT	1	punct
21	postěžovala	VERB	0	root
22	si	PRON	21	expl:pv
23	nám	PRON	21	obl:arg
24	za	ADP	25	case
25	rodiče	NOUN	21	obl
26	dětí	NOUN	25	nmod
27	reálného	ADJ	28	amod
28	gymnázia	NOUN	26	nmod
29	v	ADP	30	case
30	Praze	PROPN	28	obl
31	-	PUNCT	32	punct
32	Vysočanech	PROPN	30	obl
33	Eva	PROPN	21	nsubj
34	Benešová	PROPN	33	flat
35	.	PUNCT	21	punct