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:
Maastricht znamená, že vlády ES udrží inflaci na standardu ostatních zemí, rozpočtový schodek nebude větší než 3 procenta hrubého domácího produktu a celkové zadlužení nedosáhne 60 procent HDP.
Postion	Tokenization
1	Maastricht
2	znamená
3	,
4	že
5	vlády
6	ES
7	udrží
8	inflaci
9	na
10	standardu
11	ostatních
12	zemí
13	,
14	rozpočtový
15	schodek
16	nebude
17	větší
18	než
19	3
20	procenta
21	hrubého
22	domácího
23	produktu
24	a
25	celkové
26	zadlužení
27	nedosáhne
28	60
29	procent
30	HDP
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Maastricht	PROPN	2	nsubj
2	znamená	VERB	0	root
3	,	PUNCT	7	punct
4	že	SCONJ	7	mark
5	vlády	NOUN	7	nsubj
6	ES	PROPN	5	nmod
7	udrží	VERB	2	ccomp
8	inflaci	NOUN	7	obj
9	na	ADP	10	case
10	standardu	NOUN	7	obl
11	ostatních	ADJ	12	amod
12	zemí	NOUN	10	nmod
13	,	PUNCT	17	punct
14	rozpočtový	ADJ	15	amod
15	schodek	NOUN	17	nsubj
16	nebude	AUX	17	cop
17	větší	ADJ	7	conj
18	než	SCONJ	20	mark
19	3	NUM	20	nummod
20	procenta	NOUN	17	advcl
21	hrubého	ADJ	23	amod
22	domácího	ADJ	23	amod
23	produktu	NOUN	20	nmod
24	a	CCONJ	27	cc
25	celkové	ADJ	26	amod
26	zadlužení	NOUN	27	nsubj
27	nedosáhne	VERB	7	conj
28	60	NUM	29	nummod
29	procent	NOUN	27	obl:arg
30	HDP	NOUN	29	nmod
31	.	PUNCT	2	punct