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:
Všichni si ještě pamatujeme, jak Spojené státy a Sovětský svaz nepromarnily po II. světové válce ani vteřinu a importovaly všechny vědce německého raketového výzkumu.
Postion	Tokenization
1	Všichni
2	si
3	ještě
4	pamatujeme
5	,
6	jak
7	Spojené
8	státy
9	a
10	Sovětský
11	svaz
12	nepromarnily
13	po
14	II
15	.
16	světové
17	válce
18	ani
19	vteřinu
20	a
21	importovaly
22	všechny
23	vědce
24	německého
25	raketového
26	výzkumu
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Všichni	DET	4	nsubj
2	si	PRON	4	expl:pv
3	ještě	ADV	4	advmod
4	pamatujeme	VERB	0	root
5	,	PUNCT	12	punct
6	jak	ADV	12	mark
7	Spojené	ADJ	8	amod
8	státy	NOUN	12	nsubj
9	a	CCONJ	11	cc
10	Sovětský	ADJ	11	amod
11	svaz	NOUN	8	conj
12	nepromarnily	VERB	4	ccomp
13	po	ADP	17	case
14	II	NUM	17	nummod
15	.	PUNCT	14	punct
16	světové	ADJ	17	amod
17	válce	NOUN	12	obl
18	ani	CCONJ	19	advmod:emph
19	vteřinu	NOUN	12	obj
20	a	CCONJ	21	cc
21	importovaly	VERB	12	conj
22	všechny	DET	23	det
23	vědce	NOUN	21	obj
24	německého	ADJ	26	amod
25	raketového	ADJ	26	amod
26	výzkumu	NOUN	23	nmod
27	.	PUNCT	4	punct