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 número dos del PP se presentó como una persona con profunda vocación política y pidió ayuda a todos desde la "sincera modestia" para cumplir con su tarea.
Postion	Tokenization
1	El
2	número
3	dos
4	del
5	PP
6	se
7	presentó
8	como
9	una
10	persona
11	con
12	profunda
13	vocación
14	política
15	y
16	pidió
17	ayuda
18	a
19	todos
20	desde
21	la
22	"
23	sincera
24	modestia
25	"
26	para
27	cumplir
28	con
29	su
30	tarea
31	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	número	NOUN	7	nsubj
3	dos	NUM	2	appos
4	del	ADP	5	case
5	PP	PROPN	2	nmod
6	se	PRON	7	obj
7	presentó	VERB	0	root
8	como	SCONJ	10	mark
9	una	DET	10	det
10	persona	NOUN	7	obj
11	con	ADP	13	case
12	profunda	ADJ	13	amod
13	vocación	NOUN	10	nmod
14	política	ADJ	13	amod
15	y	CCONJ	16	cc
16	pidió	VERB	7	conj
17	ayuda	NOUN	16	obj
18	a	ADP	19	case
19	todos	PRON	16	obj
20	desde	ADP	24	case
21	la	DET	24	det
22	"	PUNCT	24	punct
23	sincera	ADJ	24	amod
24	modestia	NOUN	16	obl
25	"	PUNCT	24	punct
26	para	ADP	27	mark
27	cumplir	VERB	16	advcl
28	con	ADP	30	case
29	su	DET	30	det
30	tarea	NOUN	27	obj
31	.	PUNCT	7	punct