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:
Masívní nákupy marky způsobily, že hodnota liry vůči marce poklesla pod minimální hranici ( 765.4) zaručenou v rámci EMS a přiblížila se této hranici vůči belgickému franku.
Postion	Tokenization
1	Masívní
2	nákupy
3	marky
4	způsobily
5	,
6	že
7	hodnota
8	liry
9	vůči
10	marce
11	poklesla
12	pod
13	minimální
14	hranici
15	(
16	765.4
17	)
18	zaručenou
19	v
20	rámci
21	EMS
22	a
23	přiblížila
24	se
25	této
26	hranici
27	vůči
28	belgickému
29	franku
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Masívní	ADJ	2	amod
2	nákupy	NOUN	4	nsubj
3	marky	NOUN	2	nmod
4	způsobily	VERB	0	root
5	,	PUNCT	11	punct
6	že	SCONJ	11	mark
7	hodnota	NOUN	11	nsubj
8	liry	NOUN	7	nmod
9	vůči	ADP	10	case
10	marce	NOUN	7	nmod
11	poklesla	VERB	4	ccomp
12	pod	ADP	14	case
13	minimální	ADJ	14	amod
14	hranici	NOUN	11	obl
15	(	PUNCT	16	punct
16	765.4	NUM	14	nummod
17	)	PUNCT	16	punct
18	zaručenou	ADJ	14	amod
19	v	ADP	21	case
20	rámci	NOUN	19	fixed
21	EMS	NOUN	18	obl
22	a	CCONJ	23	cc
23	přiblížila	VERB	11	conj
24	se	PRON	23	expl:pv
25	této	DET	26	det
26	hranici	NOUN	23	obl:arg
27	vůči	ADP	29	case
28	belgickému	ADJ	29	amod
29	franku	NOUN	23	obl
30	.	PUNCT	4	punct