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: ČR má i některé další karty ve hře, hlavně vědu a techniku a internacionalizaci (stupeň zapojení do mezinárodního obchodu a investic), které stojí v mezinárodním srovnání mnohem výše, než je celková pozice republiky, zdůrazňuje zpráva.
Position	Tokenization	UPOS	Head	Deprel
1	ČR	PROPN	2	nsubj
2	má	VERB	40	ccomp
3	i	CCONJ	6	advmod:emph
4	některé	DET	6	det
5	další	ADJ	6	amod
6	karty	NOUN	2	obj
7	ve	ADP	8	case
8	hře	NOUN	2	obl
9	,	PUNCT	11	punct
10	hlavně	ADV	11	advmod:emph
11	vědu	NOUN	6	nmod
12	a	CCONJ	13	cc
13	techniku	NOUN	11	conj
14	a	CCONJ	15	cc
15	internacionalizaci	NOUN	11	conj
16	(	PUNCT	15	punct
17	stupeň	NOUN	15	dep
18	zapojení	NOUN	17	nmod
19	do	ADP	21	case
20	mezinárodního	ADJ	21	amod
21	obchodu	NOUN	18	nmod
22	a	CCONJ	23	cc
23	investic	NOUN	21	conj
24	)	PUNCT	15	punct
25	,	PUNCT	27	punct
26	které	DET	27	nsubj
27	stojí	VERB	6	acl:relcl
28	v	ADP	30	case
29	mezinárodním	ADJ	30	amod
30	srovnání	NOUN	27	obl
31	mnohem	ADV	32	advmod
32	výše	ADV	27	advmod
33	,	PUNCT	35	punct
34	než	SCONJ	35	mark
35	je	VERB	32	advcl
36	celková	ADJ	37	amod
37	pozice	NOUN	35	nsubj
38	republiky	NOUN	37	nmod
39	,	PUNCT	2	punct
40	zdůrazňuje	VERB	0	root
41	zpráva	NOUN	40	nsubj
42	.	PUNCT	40	punct