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: Na druhé straně však patří k zemím s nejvyšším příjmem na jednoho obyvatele ( 50000 franků ročně) - a levné pracovní síly ze zahraničí ochotné pracovat načerno by bezesporu "zkazily ceny".
Position	Tokenization	UPOS	Head	Deprel
1	Na	ADP	3	case
2	druhé	ADJ	3	amod
3	straně	NOUN	5	obl
4	však	CCONJ	5	cc
5	patří	VERB	0	root
6	k	ADP	7	case
7	zemím	NOUN	5	obl:arg
8	s	ADP	10	case
9	nejvyšším	ADJ	10	amod
10	příjmem	NOUN	7	nmod
11	na	ADP	13	case
12	jednoho	NUM	13	nummod
13	obyvatele	NOUN	10	nmod
14	(	PUNCT	15	punct
15	50000	NUM	16	nummod:gov
16	franků	NOUN	10	nmod
17	ročně	ADV	16	advmod
18	)	PUNCT	5	punct
19	-	PUNCT	32	punct
20	a	CCONJ	32	cc
21	levné	ADJ	23	amod
22	pracovní	ADJ	23	amod
23	síly	NOUN	32	nsubj
24	ze	ADP	25	case
25	zahraničí	NOUN	23	nmod
26	ochotné	ADJ	23	amod
27	pracovat	VERB	26	xcomp
28	načerno	ADV	27	advmod
29	by	AUX	32	aux
30	bezesporu	ADV	32	advmod
31	"	PUNCT	32	punct
32	zkazily	VERB	5	conj
33	ceny	NOUN	32	obj
34	"	PUNCT	32	punct
35	.	PUNCT	5	punct