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:
Mexická zkušenost byla pro západní investory velice bolestivá, zejména pak pro ty, kteří se nechali obalamutit sebevědomými výroky mexické vlády o stabilitě tamního hospodářství.
Postion	Tokenization
1	Mexická
2	zkušenost
3	byla
4	pro
5	západní
6	investory
7	velice
8	bolestivá
9	_
10	,
11	zejména
12	pak
13	pro
14	ty
15	,
16	kteří
17	se
18	nechali
19	obalamutit
20	sebevědomými
21	výroky
22	mexické
23	vlády
24	o
25	stabilitě
26	tamního
27	hospodářství
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Mexická	ADJ	2	amod
2	zkušenost	NOUN	8	nsubj
3	byla	AUX	8	cop
4	pro	ADP	6	case
5	západní	ADJ	6	amod
6	investory	NOUN	8	obl
7	velice	ADV	8	advmod
8	bolestivá	ADJ	0	root
9	_	_	None	_
10	,	PUNCT	11	punct
11	zejména	ADV	13	advmod:emph
12	pak	ADV	8	conj
13	pro	ADP	13	case
14	ty	DET	11	orphan
15	,	PUNCT	17	punct
16	kteří	DET	17	nsubj
17	se	PRON	18	obj
18	nechali	VERB	13	acl:relcl
19	obalamutit	VERB	17	xcomp
20	sebevědomými	ADJ	20	amod
21	výroky	NOUN	18	obl
22	mexické	ADJ	22	amod
23	vlády	NOUN	20	nmod
24	o	ADP	24	case
25	stabilitě	NOUN	22	nmod
26	tamního	ADJ	26	amod
27	hospodářství	NOUN	24	nmod
28	.	PUNCT	8	punct