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:
Za prvních sedm měsíců tohoto roku dosáhly registrace nových osobních vozů počtu 2017474, což bylo o 0.1 procenta více než ve stejném období loni.
Postion	Tokenization
1	Za
2	prvních
3	sedm
4	měsíců
5	tohoto
6	roku
7	dosáhly
8	registrace
9	nových
10	osobních
11	vozů
12	počtu
13	2017474
14	,
15	což
16	bylo
17	o
18	0.1
19	procenta
20	více
21	než
22	ve
23	stejném
24	období
25	loni
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Za	ADP	4	case
2	prvních	ADJ	4	amod
3	sedm	NUM	4	nummod:gov
4	měsíců	NOUN	7	obl
5	tohoto	DET	6	det
6	roku	NOUN	4	nmod
7	dosáhly	VERB	0	root
8	registrace	NOUN	7	nsubj
9	nových	ADJ	11	amod
10	osobních	ADJ	11	amod
11	vozů	NOUN	8	nmod
12	počtu	NOUN	7	obl:arg
13	2017474	NUM	12	nummod
14	,	PUNCT	16	punct
15	což	PRON	16	nsubj
16	bylo	VERB	7	conj
17	o	ADP	19	case
18	0.1	NUM	19	nummod:gov
19	procenta	NOUN	20	obl
20	více	ADV	16	advmod
21	než	SCONJ	24	mark
22	ve	ADP	24	case
23	stejném	ADJ	24	amod
24	období	NOUN	20	dep
25	loni	ADV	24	advcl
26	.	PUNCT	7	punct