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:
"Rodina bez vlastního auta ze Vsetína, která pravidelně dojíždí se synem na ozařování do Prahy, nemá nárok ani na příspěvek na individuální dopravu.
Postion	Tokenization
1	"
2	Rodina
3	bez
4	vlastního
5	auta
6	ze
7	Vsetína
8	,
9	která
10	pravidelně
11	dojíždí
12	se
13	synem
14	na
15	ozařování
16	do
17	Prahy
18	,
19	nemá
20	nárok
21	ani
22	na
23	příspěvek
24	na
25	individuální
26	dopravu
27	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	19	punct
2	Rodina	NOUN	19	nsubj
3	bez	ADP	5	case
4	vlastního	ADJ	5	amod
5	auta	NOUN	2	nmod
6	ze	ADP	7	case
7	Vsetína	PROPN	2	nmod
8	,	PUNCT	11	punct
9	která	DET	11	nsubj
10	pravidelně	ADV	11	advmod
11	dojíždí	VERB	2	acl:relcl
12	se	ADP	13	case
13	synem	NOUN	11	obl
14	na	ADP	15	case
15	ozařování	NOUN	11	obl
16	do	ADP	17	case
17	Prahy	PROPN	11	obl
18	,	PUNCT	11	punct
19	nemá	VERB	0	root
20	nárok	NOUN	19	obj
21	ani	CCONJ	23	advmod:emph
22	na	ADP	23	case
23	příspěvek	NOUN	20	nmod
24	na	ADP	26	case
25	individuální	ADJ	26	amod
26	dopravu	NOUN	23	nmod
27	.	PUNCT	19	punct