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: Oba vozy jsou stejně drahé jako stejné typy škodovek s běžnými spalovacími motory a jsou výsledkem společného vývojového programu a. s. Škoda Mladá Boleslav a a. s. Škoda Plzeň, závod Ejpovice.
Position	Tokenization	UPOS	Head	Deprel
1	Oba	NUM	2	nummod
2	vozy	NOUN	5	nsubj
3	jsou	AUX	5	cop
4	stejně	ADV	5	advmod
5	drahé	ADJ	0	root
6	jako	SCONJ	8	mark
7	stejné	ADJ	8	amod
8	typy	NOUN	4	advcl
9	škodovek	NOUN	8	nmod
10	s	ADP	13	case
11	běžnými	ADJ	13	amod
12	spalovacími	ADJ	13	amod
13	motory	NOUN	9	nmod
14	a	CCONJ	16	cc
15	jsou	AUX	16	cop
16	výsledkem	NOUN	5	conj
17	společného	ADJ	19	amod
18	vývojového	ADJ	19	amod
19	programu	NOUN	16	nmod
20	a	ADJ	22	amod
21	.	PUNCT	20	punct
22	s	NOUN	19	nmod
23	.	PUNCT	22	punct
24	Škoda	PROPN	22	nmod
25	Mladá	ADJ	26	amod
26	Boleslav	PROPN	24	nmod
27	a	CCONJ	30	cc
28	a	ADJ	30	amod
29	.	PUNCT	28	punct
30	s	NOUN	22	conj
31	.	PUNCT	30	punct
32	Škoda	PROPN	30	nmod
33	Plzeň	PROPN	32	nmod
34	,	PUNCT	35	punct
35	závod	NOUN	32	nmod
36	Ejpovice	PROPN	35	nmod
37	.	PUNCT	5	punct