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:
Zatímco dříve se dotovaly byty, které ovšem zdaleka vždycky nedostávali ti nejpotřebnější, napříště by měly peníze směřovat přímo k lidem, tedy k nájemníkům.
Postion	Tokenization
1	Zatímco
2	dříve
3	se
4	dotovaly
5	byty
6	,
7	které
8	ovšem
9	zdaleka
10	vždycky
11	nedostávali
12	ti
13	nejpotřebnější
14	,
15	napříště
16	by
17	měly
18	peníze
19	směřovat
20	přímo
21	k
22	lidem
23	,
24	tedy
25	k
26	nájemníkům
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Zatímco	SCONJ	4	mark
2	dříve	ADV	4	advmod
3	se	PRON	4	expl:pass
4	dotovaly	VERB	17	advcl
5	byty	NOUN	4	nsubj:pass
6	,	PUNCT	11	punct
7	které	DET	11	obj
8	ovšem	CCONJ	11	cc
9	zdaleka	ADV	11	advmod
10	vždycky	ADV	11	advmod
11	nedostávali	VERB	5	acl:relcl
12	ti	DET	11	nsubj
13	nejpotřebnější	ADJ	12	amod
14	,	PUNCT	4	punct
15	napříště	ADV	17	advmod
16	by	AUX	17	aux
17	měly	VERB	0	root
18	peníze	NOUN	17	nsubj
19	směřovat	VERB	17	xcomp
20	přímo	ADV	22	advmod:emph
21	k	ADP	22	case
22	lidem	NOUN	19	obl
23	,	PUNCT	26	punct
24	tedy	ADV	26	cc
25	k	ADP	26	case
26	nájemníkům	NOUN	22	appos
27	.	PUNCT	17	punct