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: Negativně působí na stavebnictví nedostatek finančních prostředků, zejména na veřejné stavby, pokles solventnosti investorů, téměř úplný útlum bytové výstavby, růst cen tuzemských výrobků pro stavebnictví, snižování kupní síly obyvatelstva a také vysoké úroky z úvěrů.
Position	Tokenization	UPOS	Head	Deprel
1	Negativně	ADV	2	advmod
2	působí	VERB	0	root
3	na	ADP	4	case
4	stavebnictví	NOUN	2	obl:arg
5	nedostatek	NOUN	2	nsubj
6	finančních	ADJ	7	amod
7	prostředků	NOUN	5	nmod
8	,	PUNCT	12	punct
9	zejména	ADV	12	advmod:emph
10	na	ADP	12	case
11	veřejné	ADJ	12	amod
12	stavby	NOUN	7	nmod
13	,	PUNCT	14	punct
14	pokles	NOUN	5	conj
15	solventnosti	NOUN	14	nmod
16	investorů	NOUN	15	nmod
17	,	PUNCT	20	punct
18	téměř	ADV	19	advmod:emph
19	úplný	ADJ	20	amod
20	útlum	NOUN	5	conj
21	bytové	ADJ	22	amod
22	výstavby	NOUN	20	nmod
23	,	PUNCT	24	punct
24	růst	NOUN	5	conj
25	cen	NOUN	24	nmod
26	tuzemských	ADJ	27	amod
27	výrobků	NOUN	25	nmod
28	pro	ADP	29	case
29	stavebnictví	NOUN	27	nmod
30	,	PUNCT	31	punct
31	snižování	NOUN	5	conj
32	kupní	ADJ	33	amod
33	síly	NOUN	31	nmod
34	obyvatelstva	NOUN	33	nmod
35	a	CCONJ	38	cc
36	také	ADV	38	advmod:emph
37	vysoké	ADJ	38	amod
38	úroky	NOUN	5	conj
39	z	ADP	40	case
40	úvěrů	NOUN	38	nmod
41	.	PUNCT	2	punct