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:
Jaime de Marichalar y su hijo Froilán visitaban una exposición en el Palacio de Congresos de Madrid, muy cerca del Bernabéu, cuando se produjo el atentado.
Postion	Tokenization
1	Jaime
2	de
3	Marichalar
4	y
5	su
6	hijo
7	Froilán
8	visitaban
9	una
10	exposición
11	en
12	el
13	Palacio
14	de
15	Congresos
16	de
17	Madrid
18	,
19	muy
20	cerca
21	del
22	Bernabéu
23	,
24	cuando
25	se
26	produjo
27	el
28	atentado
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Jaime	PROPN	8	nsubj
2	de	ADP	3	case
3	Marichalar	PROPN	1	flat
4	y	CCONJ	6	cc
5	su	DET	6	det
6	hijo	NOUN	1	conj
7	Froilán	PROPN	6	appos
8	visitaban	VERB	0	root
9	una	DET	10	det
10	exposición	NOUN	8	obj
11	en	ADP	13	case
12	el	DET	13	det
13	Palacio	PROPN	10	nmod
14	de	ADP	15	case
15	Congresos	PROPN	13	flat
16	de	ADP	17	case
17	Madrid	PROPN	13	flat
18	,	PUNCT	20	punct
19	muy	ADV	20	advmod
20	cerca	ADV	13	advmod
21	del	ADP	22	case
22	Bernabéu	PROPN	20	obl
23	,	PUNCT	20	punct
24	cuando	SCONJ	26	mark
25	se	PRON	26	expl:pv
26	produjo	VERB	8	advcl
27	el	DET	28	det
28	atentado	NOUN	26	nsubj
29	.	PUNCT	8	punct