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:
Nejvíce si vydělali lodníci na řekách (8504 Kč), po nich následovali železničáři (7973 Kč) a dále lidi v silniční ČSAD (7277 Kč).
Postion	Tokenization
1	Nejvíce
2	si
3	vydělali
4	lodníci
5	na
6	řekách
7	(
8	8504
9	Kč
10	)
11	,
12	po
13	nich
14	následovali
15	železničáři
16	(
17	7973
18	Kč
19	)
20	_
21	a
22	dále
23	lidi
24	v
25	silniční
26	ČSAD
27	(
28	7277
29	Kč
30	)
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Nejvíce	ADV	3	advmod
2	si	PRON	3	obl
3	vydělali	VERB	0	root
4	lodníci	NOUN	3	nsubj
5	na	ADP	6	case
6	řekách	NOUN	3	obl
7	(	PUNCT	8	punct
8	8504	NUM	3	obj
9	Kč	NOUN	8	nmod
10	)	PUNCT	8	punct
11	,	PUNCT	14	punct
12	po	ADP	13	case
13	nich	PRON	14	obl
14	následovali	VERB	3	conj
15	železničáři	NOUN	14	nsubj
16	(	PUNCT	14	punct
17	7973	NUM	14	dep
18	Kč	NOUN	17	nmod
19	)	PUNCT	14	punct
20	_	_	None	_
21	a	CCONJ	21	cc
22	dále	ADV	14	conj
23	lidi	NOUN	21	orphan
24	v	ADP	25	case
25	silniční	ADJ	25	amod
26	ČSAD	PROPN	22	nmod
27	(	PUNCT	14	punct
28	7277	NUM	14	dep
29	Kč	NOUN	27	nmod
30	)	PUNCT	14	punct
31	.	PUNCT	3	punct