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:
Por eso el emparejamiento virtual al que se somete al príncipe Felipe con la princesa Magdalena de Suecia y también con Carolina de Borbón-Parma No es más que una mera conjetura, carente de base, a pesar de que ambas jóvenes están siendo promocionadas como novias ideales.
Postion	Tokenization
1	Por
2	eso
3	el
4	emparejamiento
5	virtual
6	al
7	que
8	se
9	somete
10	al
11	príncipe
12	Felipe
13	con
14	la
15	princesa
16	Magdalena
17	de
18	Suecia
19	y
20	también
21	con
22	Carolina
23	de
24	Borbón-Parma
25	No
26	es
27	más
28	que
29	una
30	mera
31	conjetura
32	,
33	carente
34	de
35	base
36	,
37	a
38	pesar
39	de
40	que
41	ambas
42	jóvenes
43	están
44	siendo
45	promocionadas
46	como
47	novias
48	ideales
49	.
Position	Tokenization	UPOS	Head	Deprel
1	Por	ADP	2	case
2	eso	PRON	31	obl
3	el	DET	4	det
4	emparejamiento	NOUN	31	nsubj
5	virtual	ADJ	4	amod
6	al	ADP	7	case
7	que	PRON	9	obj
8	se	PRON	9	expl:impers
9	somete	VERB	4	acl
10	al	ADP	11	case
11	príncipe	NOUN	9	obj
12	Felipe	PROPN	11	appos
13	con	ADP	15	case
14	la	DET	15	det
15	princesa	NOUN	4	nmod
16	Magdalena	PROPN	15	appos
17	de	ADP	18	case
18	Suecia	PROPN	16	flat
19	y	CCONJ	20	cc
20	también	ADV	15	conj
21	con	ADP	20	case
22	Carolina	PROPN	20	nmod
23	de	ADP	24	case
24	Borbón-Parma	PROPN	22	flat
25	No	ADV	31	advmod
26	es	AUX	31	cop
27	más	ADV	31	advmod
28	que	SCONJ	27	fixed
29	una	DET	31	det
30	mera	ADJ	31	amod
31	conjetura	NOUN	0	root
32	,	PUNCT	33	punct
33	carente	ADJ	31	amod
34	de	ADP	35	case
35	base	NOUN	33	nmod
36	,	PUNCT	45	punct
37	a	ADP	45	mark
38	pesar	NOUN	37	fixed
39	de	ADP	37	fixed
40	que	SCONJ	37	fixed
41	ambas	NUM	42	nummod
42	jóvenes	NOUN	45	nsubj
43	están	AUX	45	aux
44	siendo	AUX	45	aux
45	promocionadas	VERB	31	advcl
46	como	SCONJ	47	mark
47	novias	NOUN	45	obl
48	ideales	ADJ	47	amod
49	.	PUNCT	31	punct