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: Nový grant ve výši čtyř milionů dolarů získalo Centrum pro ekonomický výzkum a postgraduální vzdělávání Univerzity Karlovy (CERGE) ve spojení s Národohospodářským ústavem AV ČR (EI) a Československé manažérské centrum (CMC).
Position	Tokenization	UPOS	Head	Deprel
1	Nový	ADJ	2	amod
2	grant	NOUN	8	obj
3	ve	ADP	4	case
4	výši	NOUN	2	nmod
5	čtyř	NUM	6	nummod
6	milionů	NOUN	4	nmod
7	dolarů	NOUN	6	nmod
8	získalo	VERB	0	root
9	Centrum	NOUN	8	nsubj
10	pro	ADP	12	case
11	ekonomický	ADJ	12	amod
12	výzkum	NOUN	9	nmod
13	a	CCONJ	15	cc
14	postgraduální	ADJ	15	amod
15	vzdělávání	NOUN	12	conj
16	Univerzity	NOUN	9	nmod
17	Karlovy	ADJ	16	amod
18	(	PUNCT	19	punct
19	CERGE	PROPN	9	appos
20	)	PUNCT	19	punct
21	ve	ADP	25	case
22	spojení	NOUN	21	fixed
23	s	ADP	21	fixed
24	Národohospodářským	ADJ	25	amod
25	ústavem	NOUN	9	nmod
26	AV	PROPN	25	nmod
27	ČR	PROPN	26	nmod
28	(	PUNCT	29	punct
29	EI	PROPN	25	appos
30	)	PUNCT	29	punct
31	a	CCONJ	34	cc
32	Československé	ADJ	34	amod
33	manažérské	ADJ	34	amod
34	centrum	NOUN	9	conj
35	(	PUNCT	36	punct
36	CMC	PROPN	34	appos
37	)	PUNCT	36	punct
38	.	PUNCT	8	punct