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 príncipe Felipe estuvo sentado junto al escritor Ari Behn, novio de Marta Luisa de Noruega, y delante de las princesas Magdalena de Suecia y Carolina de Borbón-Parma, hija de Carlos Hugo e Irene de Grecia y última aparición en la lista de novias virtuales del heredero español.
Postion	Tokenization
1	El
2	príncipe
3	Felipe
4	estuvo
5	sentado
6	junto
7	al
8	escritor
9	Ari
10	Behn
11	,
12	novio
13	de
14	Marta
15	Luisa
16	de
17	Noruega
18	,
19	y
20	delante
21	de
22	las
23	princesas
24	Magdalena
25	de
26	Suecia
27	y
28	Carolina
29	de
30	Borbón-Parma
31	,
32	hija
33	de
34	Carlos
35	Hugo
36	e
37	Irene
38	de
39	Grecia
40	y
41	última
42	aparición
43	en
44	la
45	lista
46	de
47	novias
48	virtuales
49	del
50	heredero
51	español
52	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	príncipe	NOUN	5	nsubj
3	Felipe	PROPN	2	appos
4	estuvo	AUX	5	cop
5	sentado	ADJ	0	root
6	junto	ADJ	8	case
7	al	ADP	6	fixed
8	escritor	NOUN	5	obl
9	Ari	PROPN	8	appos
10	Behn	PROPN	9	flat
11	,	PUNCT	12	punct
12	novio	NOUN	8	appos
13	de	ADP	14	case
14	Marta	PROPN	12	nmod
15	Luisa	PROPN	14	flat
16	de	ADP	17	case
17	Noruega	PROPN	14	flat
18	,	PUNCT	12	punct
19	y	CCONJ	23	cc
20	delante	ADV	23	case
21	de	ADP	20	fixed
22	las	DET	23	det
23	princesas	NOUN	8	conj
24	Magdalena	PROPN	23	appos
25	de	ADP	26	case
26	Suecia	PROPN	24	flat
27	y	CCONJ	28	cc
28	Carolina	PROPN	24	conj
29	de	ADP	30	case
30	Borbón-Parma	PROPN	28	flat
31	,	PUNCT	32	punct
32	hija	NOUN	28	appos
33	de	ADP	34	case
34	Carlos	PROPN	32	nmod
35	Hugo	PROPN	34	flat
36	e	CCONJ	37	cc
37	Irene	PROPN	34	conj
38	de	ADP	39	case
39	Grecia	PROPN	37	flat
40	y	CCONJ	42	cc
41	última	ADJ	42	amod
42	aparición	NOUN	32	conj
43	en	ADP	45	case
44	la	DET	45	det
45	lista	NOUN	42	nmod
46	de	ADP	47	case
47	novias	NOUN	45	nmod
48	virtuales	ADJ	47	amod
49	del	ADP	50	case
50	heredero	NOUN	45	nmod
51	español	ADJ	50	amod
52	.	PUNCT	5	punct