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:
V České republice jsme investovali deset milionů dolarů do výstavby závodu na výrobu bruslařských kompletů a hokejového vybavení , říká Pierre Boivin , nově jmenovaný ředitel Canstar (na snímku).
Postion	Tokenization
1	V
2	České
3	republice
4	jsme
5	investovali
6	deset
7	milionů
8	dolarů
9	do
10	výstavby
11	závodu
12	na
13	výrobu
14	bruslařských
15	kompletů
16	a
17	hokejového
18	vybavení
19	,
20	říká
21	Pierre
22	Boivin
23	,
24	nově
25	jmenovaný
26	ředitel
27	Canstar
28	(
29	na
30	snímku
31	)
32	.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	3	case
2	České	ADJ	3	amod
3	republice	NOUN	5	obl
4	jsme	AUX	5	aux
5	investovali	VERB	20	ccomp
6	deset	NUM	7	nummod:gov
7	milionů	NOUN	5	obj
8	dolarů	NOUN	7	nmod
9	do	ADP	10	case
10	výstavby	NOUN	5	obl
11	závodu	NOUN	10	nmod
12	na	ADP	13	case
13	výrobu	NOUN	11	nmod
14	bruslařských	ADJ	15	amod
15	kompletů	NOUN	13	nmod
16	a	CCONJ	18	cc
17	hokejového	ADJ	18	amod
18	vybavení	NOUN	15	conj
19	,	PUNCT	5	punct
20	říká	VERB	0	root
21	Pierre	PROPN	20	nsubj
22	Boivin	PROPN	21	flat
23	,	PUNCT	26	punct
24	nově	ADV	25	advmod
25	jmenovaný	ADJ	26	amod
26	ředitel	NOUN	21	appos
27	Canstar	PROPN	26	nmod
28	(	PUNCT	30	punct
29	na	ADP	30	case
30	snímku	NOUN	21	nmod
31	)	PUNCT	30	punct
32	.	PUNCT	20	punct