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:
Na rozdíl od jiných amerických fondů, které investují najednou do všech vznikajících trhů, se CRF zaměří především na Českou republiku.
Postion	Tokenization
1	Na
2	rozdíl
3	od
4	jiných
5	amerických
6	fondů
7	,
8	které
9	investují
10	najednou
11	do
12	všech
13	vznikajících
14	trhů
15	,
16	se
17	CRF
18	zaměří
19	především
20	na
21	Českou
22	republiku
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Na	ADP	6	case
2	rozdíl	NOUN	1	fixed
3	od	ADP	1	fixed
4	jiných	ADJ	6	amod
5	amerických	ADJ	6	amod
6	fondů	NOUN	18	obl
7	,	PUNCT	9	punct
8	které	DET	9	nsubj
9	investují	VERB	6	acl:relcl
10	najednou	ADV	9	advmod
11	do	ADP	14	case
12	všech	DET	14	det
13	vznikajících	ADJ	14	amod
14	trhů	NOUN	9	obl
15	,	PUNCT	9	punct
16	se	PRON	18	expl:pv
17	CRF	PROPN	18	nsubj
18	zaměří	VERB	0	root
19	především	ADV	22	advmod:emph
20	na	ADP	22	case
21	Českou	ADJ	22	amod
22	republiku	NOUN	18	obl:arg
23	.	PUNCT	18	punct