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:
"La presidencia no es buena para usted porque no tiene capacidad para dirigir el país y la dimisión será buena para su alma", afirmó el arzobispo de Manila, cardenal Jaime Sin.
Postion	Tokenization
1	"
2	La
3	presidencia
4	no
5	es
6	buena
7	para
8	usted
9	porque
10	no
11	tiene
12	capacidad
13	para
14	dirigir
15	el
16	país
17	y
18	la
19	dimisión
20	será
21	buena
22	para
23	su
24	alma
25	"
26	,
27	afirmó
28	el
29	arzobispo
30	de
31	Manila
32	,
33	cardenal
34	Jaime
35	Sin
36	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	6	punct
2	La	DET	3	det
3	presidencia	NOUN	6	nsubj
4	no	ADV	6	advmod
5	es	AUX	6	cop
6	buena	ADJ	27	ccomp
7	para	ADP	8	case
8	usted	PRON	6	nmod
9	porque	SCONJ	11	mark
10	no	ADV	11	advmod
11	tiene	VERB	6	advcl
12	capacidad	NOUN	11	obj
13	para	ADP	14	mark
14	dirigir	VERB	12	acl
15	el	DET	16	det
16	país	NOUN	14	obj
17	y	CCONJ	21	cc
18	la	DET	19	det
19	dimisión	NOUN	21	nsubj
20	será	AUX	21	cop
21	buena	ADJ	6	conj
22	para	ADP	24	case
23	su	DET	24	det
24	alma	NOUN	21	nmod
25	"	PUNCT	6	punct
26	,	PUNCT	6	punct
27	afirmó	VERB	0	root
28	el	DET	29	det
29	arzobispo	NOUN	27	nsubj
30	de	ADP	31	case
31	Manila	PROPN	29	nmod
32	,	PUNCT	33	punct
33	cardenal	NOUN	29	appos
34	Jaime	PROPN	33	appos
35	Sin	ADP	34	flat
36	.	PUNCT	27	punct