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:
Podle tezí volebního programu Jiné volby usiluje toto seskupení o to, aby se mladým lidem neuzavírala cesta ke vzdělání ze sociálních důvodů.
Postion	Tokenization
1	Podle
2	tezí
3	volebního
4	programu
5	Jiné
6	volby
7	usiluje
8	toto
9	seskupení
10	o
11	to
12	,
13	aby
14	aby
15	by
16	se
17	mladým
18	lidem
19	neuzavírala
20	cesta
21	ke
22	vzdělání
23	ze
24	sociálních
25	důvodů
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Podle	ADP	2	case
2	tezí	NOUN	7	obl
3	volebního	ADJ	4	amod
4	programu	NOUN	2	nmod
5	Jiné	ADJ	6	amod
6	volby	NOUN	4	nmod
7	usiluje	VERB	0	root
8	toto	DET	9	det
9	seskupení	NOUN	7	nsubj
10	o	ADP	11	case
11	to	DET	7	obl:arg
12	,	PUNCT	18	punct
13	aby	_	None	_
14	aby	SCONJ	18	mark
15	by	AUX	18	aux
16	se	PRON	18	expl:pass
17	mladým	ADJ	17	amod
18	lidem	NOUN	18	obl:arg
19	neuzavírala	VERB	11	acl
20	cesta	NOUN	18	nsubj:pass
21	ke	ADP	21	case
22	vzdělání	NOUN	19	nmod
23	ze	ADP	24	case
24	sociálních	ADJ	24	amod
25	důvodů	NOUN	18	obl
26	.	PUNCT	7	punct