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: Jednak je česká ekonomika hodnocena zahraničními investory mnohem méně pozitivně než politiky, a kromě toho tržní kapitalizace samotné společnosti Telefonos de Mexico je stále ještě vyšší než kapitalizace celého českého akciového trhu včetně akcií z druhé vlny.
Position	Tokenization	UPOS	Head	Deprel
1	Jednak	CCONJ	5	cc
2	je	AUX	5	aux:pass
3	česká	ADJ	4	amod
4	ekonomika	NOUN	5	nsubj:pass
5	hodnocena	ADJ	0	root
6	zahraničními	ADJ	7	amod
7	investory	NOUN	5	obl:arg
8	mnohem	ADV	9	advmod
9	méně	ADV	5	advmod
10	pozitivně	ADV	9	advmod
11	než	SCONJ	12	mark
12	politiky	NOUN	9	advcl
13	,	PUNCT	27	punct
14	a	CCONJ	27	cc
15	kromě	ADP	16	case
16	toho	DET	27	obl
17	tržní	ADJ	18	amod
18	kapitalizace	NOUN	27	nsubj
19	samotné	ADJ	20	amod
20	společnosti	NOUN	18	nmod
21	Telefonos	PROPN	20	nmod
22	de	ADP	21	flat:foreign
23	Mexico	PROPN	21	flat:foreign
24	je	AUX	27	cop
25	stále	ADV	27	advmod
26	ještě	ADV	27	advmod
27	vyšší	ADJ	5	conj
28	než	SCONJ	29	mark
29	kapitalizace	NOUN	27	advcl
30	celého	ADJ	33	amod
31	českého	ADJ	33	amod
32	akciového	ADJ	33	amod
33	trhu	NOUN	29	nmod
34	včetně	ADP	35	case
35	akcií	NOUN	33	nmod
36	z	ADP	38	case
37	druhé	ADJ	38	amod
38	vlny	NOUN	35	nmod
39	.	PUNCT	5	punct