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: Zájem o investice, které dosáhly v ČR asi 110 milionů dolarů, je směrován zejména do oblastí - stavebnictví (například Bramag a Wienerberger), strojírenství (Voest Alpine), ale i potravinářského průmyslu (Spak) a papírenského průmyslu (Leicam).
Position	Tokenization	UPOS	Head	Deprel
1	Zájem	NOUN	15	nsubj:pass
2	o	ADP	3	case
3	investice	NOUN	1	nmod
4	,	PUNCT	6	punct
5	které	DET	6	nsubj
6	dosáhly	VERB	3	acl:relcl
7	v	ADP	8	case
8	ČR	PROPN	6	obl
9	asi	PART	11	advmod:emph
10	110	NUM	11	nummod
11	milionů	NOUN	6	obl:arg
12	dolarů	NOUN	11	nmod
13	,	PUNCT	6	punct
14	je	AUX	15	aux:pass
15	směrován	ADJ	0	root
16	zejména	ADV	18	advmod:emph
17	do	ADP	18	case
18	oblastí	NOUN	15	obl
19	-	PUNCT	20	punct
20	stavebnictví	NOUN	18	nmod
21	(	PUNCT	20	punct
22	například	ADV	23	advmod:emph
23	Bramag	NOUN	20	dep
24	a	CCONJ	25	cc
25	Wienerberger	PROPN	23	conj
26	)	PUNCT	20	punct
27	,	PUNCT	28	punct
28	strojírenství	NOUN	20	conj
29	(	PUNCT	28	punct
30	Voest	PROPN	31	nmod
31	Alpine	ADJ	28	dep
32	)	PUNCT	28	punct
33	,	PUNCT	37	punct
34	ale	CCONJ	37	cc
35	i	CCONJ	37	advmod:emph
36	potravinářského	ADJ	37	amod
37	průmyslu	NOUN	18	conj
38	(	PUNCT	37	punct
39	Spak	PROPN	37	dep
40	)	PUNCT	37	punct
41	a	CCONJ	43	cc
42	papírenského	ADJ	43	amod
43	průmyslu	NOUN	37	conj
44	(	PUNCT	43	punct
45	Leicam	PROPN	43	dep
46	)	PUNCT	43	punct
47	.	PUNCT	15	punct