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: AIM jako řádně regulovaný trh londýnské burzy zajistí investorům nezbytnou ochranu a důvěru, současně však umožní firmám, které nemohou vstoupit na hlavní trh, větší možnost přístupu ke kapitálu s nižšími náklady.
Position	Tokenization	UPOS	Head	Deprel
1	AIM	NOUN	8	nsubj
2	jako	SCONJ	5	mark
3	řádně	ADV	4	advmod
4	regulovaný	ADJ	5	amod
5	trh	NOUN	1	xcomp
6	londýnské	ADJ	7	amod
7	burzy	NOUN	5	nmod
8	zajistí	VERB	0	root
9	investorům	NOUN	8	obl:arg
10	nezbytnou	ADJ	11	amod
11	ochranu	NOUN	8	obj
12	a	CCONJ	13	cc
13	důvěru	NOUN	11	conj
14	,	PUNCT	17	punct
15	současně	ADV	17	advmod
16	však	CCONJ	17	cc
17	umožní	VERB	8	conj
18	firmám	NOUN	17	obl:arg
19	,	PUNCT	21	punct
20	které	DET	21	nsubj
21	nemohou	VERB	18	acl:relcl
22	vstoupit	VERB	21	xcomp
23	na	ADP	25	case
24	hlavní	ADJ	25	amod
25	trh	NOUN	22	obl
26	,	PUNCT	21	punct
27	větší	ADJ	28	amod
28	možnost	NOUN	17	obj
29	přístupu	NOUN	28	nmod
30	ke	ADP	31	case
31	kapitálu	NOUN	29	nmod
32	s	ADP	34	case
33	nižšími	ADJ	34	amod
34	náklady	NOUN	31	nmod
35	.	PUNCT	8	punct