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:
El juez dice que es comprensible que Chibana se haya indignado al descubrir qué pasó en 1945, y por tanto sienta aversión hacia la bandera de los rayos.
Postion	Tokenization
1	El
2	juez
3	dice
4	que
5	es
6	comprensible
7	que
8	Chibana
9	se
10	haya
11	indignado
12	al
13	descubrir
14	qué
15	pasó
16	en
17	1945
18	,
19	y
20	por
21	tanto
22	sienta
23	aversión
24	hacia
25	la
26	bandera
27	de
28	los
29	rayos
30	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	juez	NOUN	3	nsubj
3	dice	VERB	0	root
4	que	SCONJ	6	mark
5	es	AUX	6	cop
6	comprensible	ADJ	3	ccomp
7	que	SCONJ	11	mark
8	Chibana	PROPN	11	nsubj
9	se	PRON	11	expl:pv
10	haya	AUX	11	aux
11	indignado	VERB	6	csubj
12	al	ADP	13	mark
13	descubrir	VERB	11	advcl
14	qué	PRON	15	nsubj
15	pasó	VERB	13	ccomp
16	en	ADP	17	case
17	1945	NOUN	15	obl
18	,	PUNCT	22	punct
19	y	CCONJ	22	cc
20	por	ADP	22	advmod
21	tanto	NOUN	20	fixed
22	sienta	VERB	11	conj
23	aversión	NOUN	22	obj
24	hacia	ADP	26	case
25	la	DET	26	det
26	bandera	NOUN	22	obl
27	de	ADP	29	case
28	los	DET	29	det
29	rayos	NOUN	26	nmod
30	.	PUNCT	3	punct