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:
Na dvaatřicet tisíc současných a bývalých zaměstnanců automobilové a. s. Škoda a jejich rodinných příslušníků odevzdalo předregistrační lístky do firemní Zaměstnanecké pojišťovny.
Postion	Tokenization
1	Na
2	dvaatřicet
3	tisíc
4	současných
5	a
6	bývalých
7	zaměstnanců
8	automobilové
9	a
10	.
11	s
12	.
13	Škoda
14	a
15	jejich
16	rodinných
17	příslušníků
18	odevzdalo
19	předregistrační
20	lístky
21	do
22	firemní
23	Zaměstnanecké
24	pojišťovny
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Na	ADP	2	case
2	dvaatřicet	NUM	18	nsubj
3	tisíc	NOUN	2	nmod
4	současných	ADJ	7	amod
5	a	CCONJ	6	cc
6	bývalých	ADJ	4	conj
7	zaměstnanců	NOUN	3	nmod
8	automobilové	ADJ	11	amod
9	a	ADJ	11	amod
10	.	PUNCT	9	punct
11	s	NOUN	7	nmod
12	.	PUNCT	11	punct
13	Škoda	PROPN	18	dep
14	a	CCONJ	17	cc
15	jejich	DET	17	det
16	rodinných	ADJ	17	amod
17	příslušníků	NOUN	13	conj
18	odevzdalo	VERB	0	root
19	předregistrační	ADJ	20	amod
20	lístky	NOUN	18	obj
21	do	ADP	24	case
22	firemní	ADJ	24	amod
23	Zaměstnanecké	ADJ	24	amod
24	pojišťovny	NOUN	18	obl
25	.	PUNCT	18	punct