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: "Raději bych byla v zákopech s prázdným žaludkem, než se denně setkávat s dramaty této špinavé války bez možnosti řešení," dodává tato bývalá učitelka, jejíž smutná tvář je zbrázděna hlubokými vráskami.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	2	punct
2	Raději	ADV	25	ccomp
3	bych	AUX	2	aux
4	byla	AUX	2	cop
5	v	ADP	6	case
6	zákopech	NOUN	2	obl
7	s	ADP	9	case
8	prázdným	ADJ	9	amod
9	žaludkem	NOUN	2	obl
10	,	PUNCT	14	punct
11	než	SCONJ	14	mark
12	se	PRON	14	expl:pv
13	denně	ADV	14	advmod
14	setkávat	VERB	2	advcl
15	s	ADP	16	case
16	dramaty	NOUN	14	obl:arg
17	této	DET	19	det
18	špinavé	ADJ	19	amod
19	války	NOUN	16	nmod
20	bez	ADP	21	case
21	možnosti	NOUN	14	obl
22	řešení	NOUN	21	nmod
23	,	PUNCT	2	punct
24	"	PUNCT	2	punct
25	dodává	VERB	0	root
26	tato	DET	28	det
27	bývalá	ADJ	28	amod
28	učitelka	NOUN	25	nsubj
29	,	PUNCT	34	punct
30	jejíž	DET	32	det
31	smutná	ADJ	32	amod
32	tvář	NOUN	34	nsubj
33	je	AUX	34	cop
34	zbrázděna	ADJ	28	acl:relcl
35	hlubokými	ADJ	36	amod
36	vráskami	NOUN	34	obl:arg
37	.	PUNCT	25	punct