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:
Más de 50.000 soldados británicos fueron capturados por las tropas japonesas, que los sometieron a torturas o a trabajos forzados, incluso en la construcción del llamado "ferrocarril de la muerte", que inspiró la película "El puente sobre el río Kwai".
Postion	Tokenization
1	Más
2	de
3	50.000
4	soldados
5	británicos
6	fueron
7	capturados
8	por
9	las
10	tropas
11	japonesas
12	,
13	que
14	los
15	sometieron
16	a
17	torturas
18	o
19	a
20	trabajos
21	forzados
22	,
23	incluso
24	en
25	la
26	construcción
27	del
28	llamado
29	"
30	ferrocarril
31	de
32	la
33	muerte
34	"
35	,
36	que
37	inspiró
38	la
39	película
40	"
41	El
42	puente
43	sobre
44	el
45	río
46	Kwai
47	"
48	.
Position	Tokenization	UPOS	Head	Deprel
1	Más	ADV	4	advmod
2	de	ADP	1	case
3	50.000	NUM	1	nummod
4	soldados	NOUN	7	nsubj
5	británicos	ADJ	4	amod
6	fueron	AUX	7	aux
7	capturados	VERB	0	root
8	por	ADP	10	case
9	las	DET	10	det
10	tropas	NOUN	7	obj
11	japonesas	ADJ	10	amod
12	,	PUNCT	15	punct
13	que	PRON	15	nsubj
14	los	PRON	15	obj
15	sometieron	VERB	10	acl
16	a	ADP	17	case
17	torturas	NOUN	15	iobj
18	o	CCONJ	20	cc
19	a	ADP	20	case
20	trabajos	NOUN	17	conj
21	forzados	ADJ	20	amod
22	,	PUNCT	23	punct
23	incluso	ADV	20	advmod
24	en	ADP	23	case
25	la	DET	26	det
26	construcción	NOUN	23	nmod
27	del	ADP	30	case
28	llamado	ADJ	30	amod
29	"	PUNCT	30	punct
30	ferrocarril	NOUN	26	nmod
31	de	ADP	33	case
32	la	DET	33	det
33	muerte	NOUN	30	nmod
34	"	PUNCT	30	punct
35	,	PUNCT	37	punct
36	que	PRON	37	nsubj
37	inspiró	VERB	30	acl
38	la	DET	39	det
39	película	NOUN	37	obj
40	"	PUNCT	41	punct
41	El	DET	42	det
42	puente	PROPN	39	appos
43	sobre	ADP	45	case
44	el	DET	45	det
45	río	PROPN	41	flat
46	Kwai	PROPN	45	flat
47	"	PUNCT	45	punct
48	.	PUNCT	7	punct