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:
"Fue una decisión muy inteligente por parte de Wahid porque estaba entre la espada y la pared", declaró hoy a EFE Greg Barton, académico australiano y biógrafo oficial de Wahid, quien añadió que "de esta manera, satisface a todo el mundo y se mantiene en el poder".
Postion	Tokenization
1	"
2	Fue
3	una
4	decisión
5	muy
6	inteligente
7	por
8	parte
9	de
10	Wahid
11	porque
12	estaba
13	entre
14	la
15	espada
16	y
17	la
18	pared
19	"
20	,
21	declaró
22	hoy
23	a
24	EFE
25	Greg
26	Barton
27	,
28	académico
29	australiano
30	y
31	biógrafo
32	oficial
33	de
34	Wahid
35	,
36	quien
37	añadió
38	que
39	"
40	de
41	esta
42	manera
43	,
44	satisface
45	a
46	todo
47	el
48	mundo
49	y
50	se
51	mantiene
52	en
53	el
54	poder
55	"
56	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	4	punct
2	Fue	AUX	4	cop
3	una	DET	4	det
4	decisión	NOUN	21	ccomp
5	muy	ADV	6	advmod
6	inteligente	ADJ	4	amod
7	por	ADP	10	case
8	parte	NOUN	7	fixed
9	de	ADP	7	fixed
10	Wahid	PROPN	4	nmod
11	porque	SCONJ	13	mark
12	estaba	AUX	13	cop
13	entre	ADP	4	advcl
14	la	DET	13	fixed
15	espada	NOUN	13	fixed
16	y	CCONJ	13	fixed
17	la	DET	13	fixed
18	pared	NOUN	13	fixed
19	"	PUNCT	4	punct
20	,	PUNCT	4	punct
21	declaró	VERB	0	root
22	hoy	ADV	21	advmod
23	a	ADP	24	case
24	EFE	PROPN	21	iobj
25	Greg	PROPN	21	nsubj
26	Barton	PROPN	25	flat
27	,	PUNCT	28	punct
28	académico	NOUN	25	appos
29	australiano	ADJ	28	amod
30	y	CCONJ	31	cc
31	biógrafo	NOUN	28	conj
32	oficial	ADJ	31	amod
33	de	ADP	34	case
34	Wahid	PROPN	31	nmod
35	,	PUNCT	37	punct
36	quien	PRON	37	nsubj
37	añadió	VERB	25	acl
38	que	SCONJ	44	mark
39	"	PUNCT	44	punct
40	de	ADP	42	case
41	esta	DET	42	det
42	manera	NOUN	44	obl
43	,	PUNCT	42	punct
44	satisface	VERB	37	ccomp
45	a	ADP	48	case
46	todo	DET	47	det
47	el	DET	48	det
48	mundo	NOUN	44	obj
49	y	CCONJ	51	cc
50	se	PRON	51	obj
51	mantiene	VERB	44	conj
52	en	ADP	54	case
53	el	DET	54	det
54	poder	NOUN	51	obl
55	"	PUNCT	44	punct
56	.	PUNCT	21	punct