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:
Después ofreció una conferencia de más de una hora en la que explicó a los asistentes, en su mayoría mujeres, los problemas que ha tenido con el peso durante su vida y la satisfacción de haber conseguido solucionarlos.
Postion	Tokenization
1	Después
2	ofreció
3	una
4	conferencia
5	de
6	más
7	de
8	una
9	hora
10	en
11	la
12	que
13	explicó
14	a
15	los
16	asistentes
17	,
18	en
19	su
20	mayoría
21	mujeres
22	,
23	los
24	problemas
25	que
26	ha
27	tenido
28	con
29	el
30	peso
31	durante
32	su
33	vida
34	y
35	la
36	satisfacción
37	de
38	haber
39	conseguido
40	solucionarlos
41	solucionar
42	los
43	.
Position	Tokenization	UPOS	Head	Deprel
1	Después	ADV	2	advmod
2	ofreció	VERB	0	root
3	una	DET	4	det
4	conferencia	NOUN	2	obj
5	de	ADP	9	case
6	más	ADV	8	advmod
7	de	ADP	8	case
8	una	DET	9	det
9	hora	NOUN	4	nmod
10	en	ADP	12	case
11	la	DET	12	det
12	que	PRON	13	obl
13	explicó	VERB	4	acl
14	a	ADP	16	case
15	los	DET	16	det
16	asistentes	NOUN	13	obj
17	,	PUNCT	21	punct
18	en	ADP	20	case
19	su	DET	20	det
20	mayoría	NOUN	21	nmod
21	mujeres	NOUN	16	appos
22	,	PUNCT	21	punct
23	los	DET	24	det
24	problemas	NOUN	13	obj
25	que	PRON	27	obj
26	ha	AUX	27	aux
27	tenido	VERB	24	acl
28	con	ADP	30	case
29	el	DET	30	det
30	peso	NOUN	27	obl
31	durante	ADP	33	case
32	su	DET	33	det
33	vida	NOUN	27	obl
34	y	CCONJ	36	cc
35	la	DET	36	det
36	satisfacción	NOUN	24	conj
37	de	ADP	39	mark
38	haber	AUX	39	aux
39	conseguido	VERB	36	acl
40	solucionarlos	_	None	_
41	solucionar	VERB	39	xcomp
42	los	PRON	40	obj
43	.	PUNCT	2	punct