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: Jak je to s propastí doopravdy - jestli je a kolik měří - vědí přesně snad jen andělé, které na berlínském nebi v roce 1987 odhalil ve svém filmu Nebe nad Berlínem režisér Wim Wenders.
Position	Tokenization	UPOS	Head	Deprel
1	Jak	SCONJ	2	mark
2	je	VERB	0	root
3	to	DET	2	nsubj
4	s	ADP	5	case
5	propastí	NOUN	2	obl
6	doopravdy	ADV	2	advmod
7	-	PUNCT	14	punct
8	jestli	SCONJ	9	mark
9	je	VERB	14	ccomp
10	a	CCONJ	12	cc
11	kolik	DET	12	obl
12	měří	VERB	9	conj
13	-	PUNCT	9	punct
14	vědí	VERB	2	conj
15	přesně	ADV	14	advmod
16	snad	ADV	14	advmod
17	jen	PART	18	advmod:emph
18	andělé	NOUN	14	nsubj
19	,	PUNCT	27	punct
20	které	DET	27	obj
21	na	ADP	23	case
22	berlínském	ADJ	23	amod
23	nebi	NOUN	27	obl
24	v	ADP	25	case
25	roce	NOUN	27	obl
26	1987	NUM	25	nummod
27	odhalil	VERB	18	acl:relcl
28	ve	ADP	30	case
29	svém	DET	30	det
30	filmu	NOUN	27	obl
31	Nebe	NOUN	30	nmod
32	nad	ADP	33	case
33	Berlínem	PROPN	31	nmod
34	režisér	NOUN	27	nsubj
35	Wim	PROPN	34	flat
36	Wenders	PROPN	34	flat
37	.	PUNCT	2	punct