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:
Móda je stále víc přivádí z přírody do měst, a tak i pro RAV 4 platí označení městský terénní automobil.
Postion	Tokenization
1	Móda
2	je
3	stále
4	víc
5	přivádí
6	z
7	přírody
8	do
9	měst
10	,
11	a
12	tak
13	i
14	pro
15	RAV
16	4
17	platí
18	označení
19	městský
20	terénní
21	automobil
22	.
Position	Tokenization	UPOS	Head	Deprel
1	Móda	NOUN	5	nsubj
2	je	PRON	5	obj
3	stále	ADV	5	advmod
4	víc	ADV	5	advmod
5	přivádí	VERB	0	root
6	z	ADP	7	case
7	přírody	NOUN	5	obl
8	do	ADP	9	case
9	měst	NOUN	5	obl
10	,	PUNCT	17	punct
11	a	CCONJ	17	cc
12	tak	CCONJ	17	cc
13	i	CCONJ	15	advmod:emph
14	pro	ADP	15	case
15	RAV	PROPN	17	obl
16	4	NUM	15	nummod
17	platí	VERB	5	conj
18	označení	NOUN	17	nsubj
19	městský	ADJ	21	amod
20	terénní	ADJ	21	amod
21	automobil	NOUN	18	nmod
22	.	PUNCT	5	punct