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 esposa del presidente del Gobierno es persona de mucha fe y con su presencia durante un ratito junto al Onyar seguro que espera lograr lo que nunca consiguió su marido.
Postion	Tokenization
1	La
2	esposa
3	del
4	presidente
5	del
6	Gobierno
7	es
8	persona
9	de
10	mucha
11	fe
12	y
13	con
14	su
15	presencia
16	durante
17	un
18	ratito
19	junto
20	al
21	Onyar
22	seguro
23	que
24	espera
25	lograr
26	lo
27	que
28	nunca
29	consiguió
30	su
31	marido
32	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	esposa	NOUN	8	nsubj
3	del	ADP	4	case
4	presidente	NOUN	2	nmod
5	del	ADP	6	case
6	Gobierno	PROPN	4	nmod
7	es	AUX	8	cop
8	persona	NOUN	0	root
9	de	ADP	11	case
10	mucha	DET	11	det
11	fe	NOUN	8	nmod
12	y	CCONJ	24	cc
13	con	ADP	15	case
14	su	DET	15	det
15	presencia	NOUN	24	obl
16	durante	ADP	18	case
17	un	DET	18	det
18	ratito	NOUN	24	obl
19	junto	ADJ	21	case
20	al	ADP	19	fixed
21	Onyar	PROPN	24	obl
22	seguro	ADV	24	advmod
23	que	SCONJ	24	mark
24	espera	VERB	8	conj
25	lograr	VERB	24	xcomp
26	lo	PRON	29	det
27	que	PRON	29	obj
28	nunca	ADV	29	advmod
29	consiguió	VERB	25	ccomp
30	su	DET	31	det
31	marido	NOUN	29	nsubj
32	.	PUNCT	8	punct