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:
Konstatoval rovněž, že investice vložené do technologie výroby plastových metalických kabelů, realizované v rámci prvního telekomunikačního projektu, dosáhly hodnoty 412 milionů korun.
Postion	Tokenization
1	Konstatoval
2	rovněž
3	,
4	že
5	investice
6	vložené
7	do
8	technologie
9	výroby
10	plastových
11	metalických
12	kabelů
13	,
14	realizované
15	v
16	rámci
17	prvního
18	telekomunikačního
19	projektu
20	,
21	dosáhly
22	hodnoty
23	412
24	milionů
25	korun
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Konstatoval	VERB	0	root
2	rovněž	ADV	1	advmod
3	,	PUNCT	21	punct
4	že	SCONJ	21	mark
5	investice	NOUN	21	nsubj
6	vložené	ADJ	5	amod
7	do	ADP	8	case
8	technologie	NOUN	6	obl
9	výroby	NOUN	8	nmod
10	plastových	ADJ	12	amod
11	metalických	ADJ	12	amod
12	kabelů	NOUN	9	nmod
13	,	PUNCT	14	punct
14	realizované	ADJ	9	amod
15	v	ADP	19	case
16	rámci	NOUN	15	fixed
17	prvního	ADJ	19	amod
18	telekomunikačního	ADJ	19	amod
19	projektu	NOUN	14	obl
20	,	PUNCT	14	punct
21	dosáhly	VERB	1	ccomp
22	hodnoty	NOUN	21	obl:arg
23	412	NUM	24	nummod:gov
24	milionů	NOUN	22	nmod
25	korun	NOUN	24	nmod
26	.	PUNCT	1	punct