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 rey Juan Carlos recibió ayer en el Palacio de Marivent al presidente del Gobierno, José María Aznar, en la cita que tradicionalmente pone fin a las vacaciones oficiales.
Postion	Tokenization
1	El
2	rey
3	Juan
4	Carlos
5	recibió
6	ayer
7	en
8	el
9	Palacio
10	de
11	Marivent
12	al
13	presidente
14	del
15	Gobierno
16	,
17	José
18	María
19	Aznar
20	,
21	en
22	la
23	cita
24	que
25	tradicionalmente
26	pone
27	fin
28	a
29	las
30	vacaciones
31	oficiales
32	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	rey	NOUN	5	nsubj
3	Juan	PROPN	2	appos
4	Carlos	PROPN	3	flat
5	recibió	VERB	0	root
6	ayer	ADV	5	advmod
7	en	ADP	9	case
8	el	DET	9	det
9	Palacio	PROPN	5	obl
10	de	ADP	11	case
11	Marivent	PROPN	9	flat
12	al	ADP	13	case
13	presidente	NOUN	5	obj
14	del	ADP	15	case
15	Gobierno	PROPN	13	nmod
16	,	PUNCT	17	punct
17	José	PROPN	13	appos
18	María	PROPN	17	flat
19	Aznar	PROPN	17	flat
20	,	PUNCT	17	punct
21	en	ADP	23	case
22	la	DET	23	det
23	cita	NOUN	5	obl
24	que	PRON	26	nsubj
25	tradicionalmente	ADV	26	advmod
26	pone	VERB	23	acl
27	fin	NOUN	26	compound
28	a	ADP	30	case
29	las	DET	30	det
30	vacaciones	NOUN	26	obj
31	oficiales	ADJ	30	amod
32	.	PUNCT	5	punct