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: Zanechal jim také dluhy holdingu, které se v důsledku velké expanze v posledních pěti letech zvýšily (odhadem, přesné účty nejsou k dispozici) na 3800 miliard lir (téměř 4 miliardy DM), čili skoro čtvrtinu celkového obratu skupiny.
Position	Tokenization	UPOS	Head	Deprel
1	Zanechal	VERB	0	root
2	jim	PRON	1	obl:arg
3	také	ADV	1	advmod:emph
4	dluhy	NOUN	1	obj
5	holdingu	NOUN	4	nmod
6	,	PUNCT	17	punct
7	které	DET	17	nsubj:pass
8	se	PRON	17	expl:pass
9	v	ADP	12	case
10	důsledku	NOUN	9	fixed
11	velké	ADJ	12	amod
12	expanze	NOUN	17	obl
13	v	ADP	16	case
14	posledních	ADJ	16	amod
15	pěti	NUM	16	nummod
16	letech	NOUN	12	nmod
17	zvýšily	VERB	4	acl:relcl
18	(	PUNCT	19	punct
19	odhadem	NOUN	17	dep
20	,	PUNCT	23	punct
21	přesné	ADJ	22	amod
22	účty	NOUN	23	nsubj
23	nejsou	VERB	19	conj
24	k	ADP	25	case
25	dispozici	NOUN	23	obl
26	)	PUNCT	19	punct
27	na	ADP	29	case
28	3800	NUM	29	nummod:gov
29	miliard	NOUN	17	obj
30	lir	NOUN	29	nmod
31	(	PUNCT	34	punct
32	téměř	ADV	34	advmod
33	4	NUM	34	nummod
34	miliardy	NOUN	28	appos
35	DM	NOUN	34	nmod
36	)	PUNCT	34	punct
37	,	PUNCT	40	punct
38	čili	CCONJ	40	cc
39	skoro	ADV	40	advmod
40	čtvrtinu	NUM	29	conj
41	celkového	ADJ	42	amod
42	obratu	NOUN	40	nmod
43	skupiny	NOUN	42	nmod
44	.	PUNCT	1	punct