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 experto opina que China podría emprender acciones militares en vez de una guerra dialéctica con Taipei, o quizás decida continuar con los juegos de guerra para mantener a la isla en la incertidumbre.
Postion	Tokenization
1	El
2	experto
3	opina
4	que
5	China
6	podría
7	emprender
8	acciones
9	militares
10	en
11	vez
12	de
13	una
14	guerra
15	dialéctica
16	con
17	Taipei
18	,
19	o
20	quizás
21	decida
22	continuar
23	con
24	los
25	juegos
26	de
27	guerra
28	para
29	mantener
30	a
31	la
32	isla
33	en
34	la
35	incertidumbre
36	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	experto	NOUN	3	nsubj
3	opina	VERB	0	root
4	que	SCONJ	7	mark
5	China	PROPN	7	nsubj
6	podría	AUX	7	aux
7	emprender	VERB	3	xcomp
8	acciones	NOUN	7	obj
9	militares	ADJ	8	amod
10	en	ADP	14	cc
11	vez	NOUN	10	fixed
12	de	ADP	10	fixed
13	una	DET	14	det
14	guerra	NOUN	8	conj
15	dialéctica	ADJ	14	amod
16	con	ADP	17	case
17	Taipei	PROPN	14	nmod
18	,	PUNCT	21	punct
19	o	CCONJ	21	cc
20	quizás	ADV	21	advmod
21	decida	VERB	7	conj
22	continuar	VERB	21	xcomp
23	con	ADP	25	case
24	los	DET	25	det
25	juegos	NOUN	22	obl
26	de	ADP	27	case
27	guerra	NOUN	25	nmod
28	para	ADP	29	mark
29	mantener	VERB	22	advcl
30	a	ADP	32	case
31	la	DET	32	det
32	isla	NOUN	29	obj
33	en	ADP	35	case
34	la	DET	35	det
35	incertidumbre	NOUN	29	obl
36	.	PUNCT	3	punct