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:
Vládě se nepodaří splnit plán na snížení nového zadlužení a dluhová služba má stoupnout o 21.6 procenta a dosáhnout 2350 miliard peset (34 mld. DM).
Postion	Tokenization
1	Vládě
2	se
3	nepodaří
4	splnit
5	plán
6	na
7	snížení
8	nového
9	zadlužení
10	a
11	dluhová
12	služba
13	má
14	stoupnout
15	o
16	21.6
17	procenta
18	a
19	dosáhnout
20	2350
21	miliard
22	peset
23	(
24	34
25	mld
26	.
27	DM
28	)
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Vládě	NOUN	3	obl:arg
2	se	PRON	3	expl:pv
3	nepodaří	VERB	0	root
4	splnit	VERB	3	csubj
5	plán	NOUN	4	obj
6	na	ADP	7	case
7	snížení	NOUN	5	nmod
8	nového	ADJ	9	amod
9	zadlužení	NOUN	7	nmod
10	a	CCONJ	13	cc
11	dluhová	ADJ	12	amod
12	služba	NOUN	13	nsubj
13	má	VERB	3	conj
14	stoupnout	VERB	13	xcomp
15	o	ADP	17	case
16	21.6	NUM	17	nummod:gov
17	procenta	NOUN	14	obl:arg
18	a	CCONJ	19	cc
19	dosáhnout	VERB	14	conj
20	2350	NUM	21	nummod
21	miliard	NOUN	19	obl:arg
22	peset	NOUN	21	nmod
23	(	PUNCT	24	punct
24	34	NUM	21	appos
25	mld	NOUN	24	nmod
26	.	PUNCT	25	punct
27	DM	NOUN	25	nmod
28	)	PUNCT	24	punct
29	.	PUNCT	3	punct