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 realizador explicó que decidió en el último momento, y tras haber hecho varios castings, contratar a la actriz japonesa Momoyo Miya, lo que le obligó a transformar el personaje de la forastera en una mujer oriental.
Postion	Tokenization
1	El
2	realizador
3	explicó
4	que
5	decidió
6	en
7	el
8	último
9	momento
10	,
11	y
12	tras
13	haber
14	hecho
15	varios
16	castings
17	,
18	contratar
19	a
20	la
21	actriz
22	japonesa
23	Momoyo
24	Miya
25	,
26	lo
27	que
28	le
29	obligó
30	a
31	transformar
32	el
33	personaje
34	de
35	la
36	forastera
37	en
38	una
39	mujer
40	oriental
41	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	realizador	NOUN	3	nsubj
3	explicó	VERB	0	root
4	que	SCONJ	5	mark
5	decidió	VERB	3	ccomp
6	en	ADP	9	case
7	el	DET	9	det
8	último	ADJ	9	amod
9	momento	NOUN	5	obl
10	,	PUNCT	14	punct
11	y	CCONJ	14	cc
12	tras	ADP	14	mark
13	haber	AUX	14	aux
14	hecho	VERB	9	conj
15	varios	DET	16	det
16	castings	NOUN	14	obj
17	,	PUNCT	9	punct
18	contratar	VERB	5	xcomp
19	a	ADP	21	case
20	la	DET	21	det
21	actriz	NOUN	18	obj
22	japonesa	ADJ	21	amod
23	Momoyo	PROPN	21	appos
24	Miya	PROPN	23	flat
25	,	PUNCT	29	punct
26	lo	PRON	29	det
27	que	PRON	29	nsubj
28	le	PRON	29	iobj
29	obligó	VERB	5	advcl
30	a	ADP	31	mark
31	transformar	VERB	29	xcomp
32	el	DET	33	det
33	personaje	NOUN	31	obj
34	de	ADP	36	case
35	la	DET	36	det
36	forastera	NOUN	33	nmod
37	en	ADP	39	case
38	una	DET	39	det
39	mujer	NOUN	31	obj
40	oriental	ADJ	39	amod
41	.	PUNCT	3	punct