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: Bohužel, poslední zprávy, které se k nám donesly, mluví o tom, že nám Sdružení výtvarníků Karlova mostu a zámeckých schodů povolení po třetím čtvrtletí nemíní prodloužit, říká E. Babincová.
Position	Tokenization	UPOS	Head	Deprel
1	Bohužel	PART	12	advmod
2	,	PUNCT	1	punct
3	poslední	ADJ	4	amod
4	zprávy	NOUN	12	nsubj
5	,	PUNCT	10	punct
6	které	DET	10	nsubj:pass
7	se	PRON	10	expl:pass
8	k	ADP	9	case
9	nám	PRON	10	obl
10	donesly	VERB	4	acl:relcl
11	,	PUNCT	10	punct
12	mluví	VERB	32	ccomp
13	o	ADP	14	case
14	tom	DET	12	obl:arg
15	,	PUNCT	29	punct
16	že	SCONJ	29	mark
17	nám	PRON	30	obl:arg
18	Sdružení	NOUN	29	nsubj
19	výtvarníků	NOUN	18	nmod
20	Karlova	ADJ	21	amod
21	mostu	NOUN	19	nmod
22	a	CCONJ	24	cc
23	zámeckých	ADJ	24	amod
24	schodů	NOUN	21	conj
25	povolení	NOUN	30	obj
26	po	ADP	28	case
27	třetím	ADJ	28	amod
28	čtvrtletí	NOUN	30	obl
29	nemíní	VERB	14	acl
30	prodloužit	VERB	29	xcomp
31	,	PUNCT	12	punct
32	říká	VERB	0	root
33	E	PROPN	32	nsubj
34	.	PUNCT	33	punct
35	Babincová	PROPN	33	flat
36	.	PUNCT	32	punct