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: Podle názoru Davida Browna, ekonoma ze Swiss Bank Corp., by pro trh bylo lepší jasné vyjádření Francie v neprospěch Maastrichtu, protože by muselo dojít k nové úpravě směnných kursů, a trh by věděl, na čem je.
Position	Tokenization	UPOS	Head	Deprel
1	Podle	ADP	2	case
2	názoru	NOUN	17	obl
3	Davida	PROPN	2	nmod
4	Browna	PROPN	3	flat
5	,	PUNCT	6	punct
6	ekonoma	NOUN	3	appos
7	ze	ADP	8	case
8	Swiss	ADJ	6	nmod
9	Bank	PROPN	8	flat:foreign
10	Corp	PROPN	8	flat:foreign
11	.	PUNCT	8	punct
12	,	PUNCT	6	punct
13	by	AUX	17	aux
14	pro	ADP	15	case
15	trh	NOUN	17	obl
16	bylo	AUX	17	cop
17	lepší	ADJ	0	root
18	jasné	ADJ	19	amod
19	vyjádření	NOUN	17	nsubj
20	Francie	PROPN	19	nmod
21	v	ADP	22	case
22	neprospěch	NOUN	19	nmod
23	Maastrichtu	NOUN	22	nmod
24	,	PUNCT	27	punct
25	protože	SCONJ	27	mark
26	by	AUX	27	aux
27	muselo	VERB	17	advcl
28	dojít	VERB	27	xcomp
29	k	ADP	31	case
30	nové	ADJ	31	amod
31	úpravě	NOUN	28	obl:arg
32	směnných	ADJ	33	amod
33	kursů	NOUN	31	nmod
34	,	PUNCT	38	punct
35	a	CCONJ	38	cc
36	trh	NOUN	38	nsubj
37	by	AUX	38	aux
38	věděl	VERB	27	conj
39	,	PUNCT	42	punct
40	na	ADP	41	case
41	čem	PRON	42	obl
42	je	VERB	38	ccomp
43	.	PUNCT	17	punct