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: Aby Sovětský svaz nepředčil Spojené státy v úspěších ve vědě a technice, zvýšil Kongres rozpočet NSF na vzdělávací programy z třech a půl miliónu dolarů na devatenáct a nakonec na šedesát jedna miliónů dolarů.
Position	Tokenization	UPOS	Head	Deprel
1	Aby	_	None	_
2	Aby	SCONJ	5	mark
3	by	AUX	5	aux
4	Sovětský	ADJ	4	amod
5	svaz	NOUN	5	nsubj
6	nepředčil	VERB	15	advcl
7	Spojené	ADJ	7	amod
8	státy	NOUN	5	obj
9	v	ADP	9	case
10	úspěších	NOUN	5	obl
11	ve	ADP	11	case
12	vědě	NOUN	9	nmod
13	a	CCONJ	13	cc
14	technice	NOUN	11	conj
15	,	PUNCT	5	punct
16	zvýšil	VERB	0	root
17	Kongres	NOUN	15	nsubj
18	rozpočet	NOUN	15	obj
19	NSF	PROPN	17	nmod
20	na	ADP	21	case
21	vzdělávací	ADJ	21	amod
22	programy	NOUN	17	nmod
23	z	ADP	26	case
24	třech	NUM	26	nummod
25	a	CCONJ	25	cc
26	půl	NUM	23	conj
27	miliónu	NOUN	15	obl
28	dolarů	NOUN	26	nmod
29	na	ADP	29	case
30	devatenáct	NUM	15	dep
31	_	_	None	_
32	a	CCONJ	31	cc
33	nakonec	ADV	15	conj
34	na	ADP	35	case
35	šedesát	NUM	35	nummod:gov
36	jedna	NUM	33	compound
37	miliónů	NOUN	31	orphan
38	dolarů	NOUN	35	nmod
39	.	PUNCT	15	punct