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: Jezdí-li například po hlavním tahu mezi Berounem a Rokycany podle úseků 9000 až 12000 vozidel denně, pohybuje se tu při obsazenosti vozidla jen dvěma lidmi 18000 až 24000 potenciálních zákazníků.
Position	Tokenization	UPOS	Head	Deprel
1	Jezdí	VERB	20	advcl
2	-	PUNCT	1	punct
3	li	PART	1	mark
4	například	ADV	7	advmod:emph
5	po	ADP	7	case
6	hlavním	ADJ	7	amod
7	tahu	NOUN	1	obl
8	mezi	ADP	9	case
9	Berounem	PROPN	7	nmod
10	a	CCONJ	11	cc
11	Rokycany	PROPN	9	conj
12	podle	ADP	13	case
13	úseků	NOUN	1	obl
14	9000	NUM	17	nummod:gov
15	až	CCONJ	16	cc
16	12000	NUM	14	conj
17	vozidel	NOUN	1	nsubj
18	denně	ADV	1	advmod
19	,	PUNCT	1	punct
20	pohybuje	VERB	0	root
21	se	PRON	20	expl:pv
22	tu	ADV	20	advmod
23	při	ADP	24	case
24	obsazenosti	NOUN	20	obl
25	vozidla	NOUN	24	nmod
26	jen	PART	28	advmod:emph
27	dvěma	NUM	28	nummod
28	lidmi	NOUN	24	nmod
29	18000	NUM	33	nummod:gov
30	až	CCONJ	31	cc
31	24000	NUM	29	conj
32	potenciálních	ADJ	33	amod
33	zákazníků	NOUN	20	nsubj
34	.	PUNCT	20	punct