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:
Con su postura Akbar Tanjung respalda la propuesta realizada por Wahid en la sesión plenaria de la Asamblea Consultiva del Pueblo, máximo órgano legislativo y formado por 700 miembros, 500 parlamentarios y 200 representantes de las provincias.
Postion	Tokenization
1	Con
2	su
3	postura
4	Akbar
5	Tanjung
6	respalda
7	la
8	propuesta
9	realizada
10	por
11	Wahid
12	en
13	la
14	sesión
15	plenaria
16	de
17	la
18	Asamblea
19	Consultiva
20	del
21	Pueblo
22	,
23	máximo
24	órgano
25	legislativo
26	y
27	formado
28	por
29	700
30	miembros
31	,
32	500
33	parlamentarios
34	y
35	200
36	representantes
37	de
38	las
39	provincias
40	.
Position	Tokenization	UPOS	Head	Deprel
1	Con	ADP	3	case
2	su	DET	3	det
3	postura	NOUN	6	obl
4	Akbar	PROPN	6	nsubj
5	Tanjung	PROPN	4	flat
6	respalda	VERB	0	root
7	la	DET	8	det
8	propuesta	NOUN	6	obj
9	realizada	ADJ	8	amod
10	por	ADP	11	case
11	Wahid	PROPN	9	obj
12	en	ADP	14	case
13	la	DET	14	det
14	sesión	NOUN	9	obl
15	plenaria	ADJ	14	amod
16	de	ADP	18	case
17	la	DET	18	det
18	Asamblea	PROPN	14	nmod
19	Consultiva	PROPN	18	flat
20	del	ADP	21	case
21	Pueblo	PROPN	18	flat
22	,	PUNCT	24	punct
23	máximo	ADJ	24	amod
24	órgano	NOUN	18	appos
25	legislativo	ADJ	24	amod
26	y	CCONJ	27	cc
27	formado	ADJ	25	conj
28	por	ADP	30	case
29	700	NUM	30	nummod
30	miembros	NOUN	27	obj
31	,	PUNCT	33	punct
32	500	NUM	33	nummod
33	parlamentarios	ADJ	30	appos
34	y	CCONJ	36	cc
35	200	NUM	36	nummod
36	representantes	NOUN	30	conj
37	de	ADP	39	case
38	las	DET	39	det
39	provincias	NOUN	36	nmod
40	.	PUNCT	6	punct