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: Uvádí to zahraniční tisk, který rovněž konstatuje, že mezipodnikové dluhy přesáhly podle vládních představitelů 100 bilionů rublů (30 mld. GPY), což již ruskou ekonomiku zcela paralyzuje.
Position	Tokenization	UPOS	Head	Deprel
1	Uvádí	VERB	0	root
2	to	DET	1	obj
3	zahraniční	ADJ	4	amod
4	tisk	NOUN	1	nsubj
5	,	PUNCT	8	punct
6	který	DET	8	nsubj
7	rovněž	ADV	8	advmod
8	konstatuje	VERB	4	acl:relcl
9	,	PUNCT	13	punct
10	že	SCONJ	13	mark
11	mezipodnikové	ADJ	12	amod
12	dluhy	NOUN	13	nsubj
13	přesáhly	VERB	8	ccomp
14	podle	ADP	16	case
15	vládních	ADJ	16	amod
16	představitelů	NOUN	13	obl
17	100	NUM	18	nummod
18	bilionů	NOUN	13	obl:arg
19	rublů	NOUN	18	nmod
20	(	PUNCT	21	punct
21	30	NUM	18	appos
22	mld	NOUN	21	nmod
23	.	PUNCT	22	punct
24	GPY	NOUN	21	nmod
25	)	PUNCT	21	punct
26	,	PUNCT	32	punct
27	což	PRON	32	nsubj
28	již	ADV	32	advmod
29	ruskou	ADJ	30	amod
30	ekonomiku	NOUN	32	obj
31	zcela	ADV	32	advmod
32	paralyzuje	VERB	13	conj
33	.	PUNCT	1	punct