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:
De una persona decidida y segura de sí misma, a la que no asustan las dificultades que puedan cruzarse en su camino, quizá haya que decir que tiene más moral que un candidato a diputado por el PP en Girona.
Postion	Tokenization
1	De
2	una
3	persona
4	decidida
5	y
6	segura
7	de
8	sí
9	misma
10	,
11	a
12	la
13	que
14	no
15	asustan
16	las
17	dificultades
18	que
19	puedan
20	cruzarse
21	cruzar
22	se
23	en
24	su
25	camino
26	,
27	quizá
28	haya
29	que
30	decir
31	que
32	tiene
33	más
34	moral
35	que
36	un
37	candidato
38	a
39	diputado
40	por
41	el
42	PP
43	en
44	Girona
45	.
Position	Tokenization	UPOS	Head	Deprel
1	De	ADP	3	case
2	una	DET	3	det
3	persona	NOUN	29	iobj
4	decidida	ADJ	3	amod
5	y	CCONJ	6	cc
6	segura	ADJ	4	conj
7	de	ADP	8	case
8	sí	PRON	6	nmod
9	misma	ADJ	8	amod
10	,	PUNCT	15	punct
11	a	ADP	13	case
12	la	DET	13	det
13	que	PRON	15	obj
14	no	ADV	15	advmod
15	asustan	VERB	3	acl
16	las	DET	17	det
17	dificultades	NOUN	15	nsubj
18	que	PRON	20	nsubj
19	puedan	AUX	20	aux
20	cruzarse	_	None	_
21	cruzar	VERB	17	acl
22	se	PRON	20	expl:pv
23	en	ADP	24	case
24	su	DET	24	det
25	camino	NOUN	20	obl
26	,	PUNCT	15	punct
27	quizá	ADV	29	advmod
28	haya	AUX	0	root
29	que	SCONJ	29	cc
30	decir	VERB	27	conj
31	que	SCONJ	31	mark
32	tiene	VERB	29	ccomp
33	más	ADV	33	advmod
34	moral	NOUN	31	obj
35	que	SCONJ	36	mark
36	un	DET	36	det
37	candidato	NOUN	33	nmod
38	a	ADP	38	case
39	diputado	NOUN	36	nmod
40	por	ADP	41	case
41	el	DET	41	det
42	PP	PROPN	36	nmod
43	en	ADP	43	case
44	Girona	PROPN	36	nmod
45	.	PUNCT	27	punct