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: Vláda SRN se navíc zavázala poskytnout odškodnění ve výši jedné miliardy německých marek obětem nacismu ze zemí bývalého SSSR a střední a východní Evropy, které dnes žijí v Izraeli, USA nebo Německu a mají charakter uprchlíků.
Position	Tokenization	UPOS	Head	Deprel
1	Vláda	NOUN	5	nsubj
2	SRN	PROPN	1	nmod
3	se	PRON	5	expl:pv
4	navíc	ADV	5	advmod
5	zavázala	VERB	0	root
6	poskytnout	VERB	5	xcomp
7	odškodnění	NOUN	6	obj
8	ve	ADP	9	case
9	výši	NOUN	7	nmod
10	jedné	NUM	11	nummod
11	miliardy	NOUN	9	nmod
12	německých	ADJ	13	amod
13	marek	NOUN	11	nmod
14	obětem	NOUN	7	nmod
15	nacismu	NOUN	14	nmod
16	ze	ADP	17	case
17	zemí	NOUN	14	nmod
18	bývalého	ADJ	19	amod
19	SSSR	PROPN	17	nmod
20	a	CCONJ	24	cc
21	střední	ADJ	24	amod
22	a	CCONJ	23	cc
23	východní	ADJ	21	conj
24	Evropy	PROPN	19	conj
25	,	PUNCT	28	punct
26	které	DET	28	nsubj
27	dnes	ADV	28	advmod
28	žijí	VERB	14	acl:relcl
29	v	ADP	30	case
30	Izraeli	PROPN	28	obl
31	,	PUNCT	32	punct
32	USA	PROPN	30	conj
33	nebo	CCONJ	34	cc
34	Německu	PROPN	30	conj
35	a	CCONJ	36	cc
36	mají	VERB	28	conj
37	charakter	NOUN	36	obj
38	uprchlíků	NOUN	37	nmod
39	.	PUNCT	5	punct