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:
Sin embargo, Wahid, de 60 años y casi ciego, subrayó que él seguirá siendo el responsable del país y añadió que Megawati tendrá que responder ante él.
Postion	Tokenization
1	Sin
2	embargo
3	,
4	Wahid
5	,
6	de
7	60
8	años
9	y
10	casi
11	ciego
12	,
13	subrayó
14	que
15	él
16	seguirá
17	siendo
18	el
19	responsable
20	del
21	país
22	y
23	añadió
24	que
25	Megawati
26	tendrá
27	que
28	responder
29	ante
30	él
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Sin	ADP	13	advmod
2	embargo	NOUN	1	fixed
3	,	PUNCT	1	punct
4	Wahid	PROPN	13	nsubj
5	,	PUNCT	8	punct
6	de	ADP	8	case
7	60	NUM	8	nummod
8	años	NOUN	4	nmod
9	y	CCONJ	11	cc
10	casi	ADV	11	advmod
11	ciego	ADJ	8	conj
12	,	PUNCT	8	punct
13	subrayó	VERB	0	root
14	que	SCONJ	16	mark
15	él	PRON	16	nsubj
16	seguirá	VERB	13	ccomp
17	siendo	AUX	19	cop
18	el	DET	19	det
19	responsable	NOUN	16	xcomp
20	del	ADP	21	case
21	país	NOUN	19	nmod
22	y	CCONJ	23	cc
23	añadió	VERB	13	conj
24	que	SCONJ	28	mark
25	Megawati	PROPN	28	nsubj
26	tendrá	VERB	23	ccomp
27	que	SCONJ	28	cc
28	responder	VERB	26	conj
29	ante	ADP	30	case
30	él	PRON	28	obl
31	.	PUNCT	13	punct