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:
Entre una reunión y otra, Clinton viajará a Aquisgrán para recibir el Premio Internacional Carlomagno, que el Ayuntamiento de esa ciudad otorga anualmente a personas que se han comprometido con el europeísmo.
Postion	Tokenization
1	Entre
2	una
3	reunión
4	y
5	otra
6	,
7	Clinton
8	viajará
9	a
10	Aquisgrán
11	para
12	recibir
13	el
14	Premio
15	Internacional
16	Carlomagno
17	,
18	que
19	el
20	Ayuntamiento
21	de
22	esa
23	ciudad
24	otorga
25	anualmente
26	a
27	personas
28	que
29	se
30	han
31	comprometido
32	con
33	el
34	europeísmo
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Entre	ADP	3	case
2	una	DET	3	det
3	reunión	NOUN	8	obl
4	y	CCONJ	5	cc
5	otra	PRON	3	conj
6	,	PUNCT	3	punct
7	Clinton	PROPN	8	nsubj
8	viajará	VERB	0	root
9	a	ADP	10	case
10	Aquisgrán	PROPN	8	obl
11	para	ADP	12	mark
12	recibir	VERB	8	advcl
13	el	DET	14	det
14	Premio	PROPN	12	obj
15	Internacional	PROPN	14	flat
16	Carlomagno	PROPN	14	flat
17	,	PUNCT	24	punct
18	que	PRON	24	obj
19	el	DET	20	det
20	Ayuntamiento	PROPN	24	nsubj
21	de	ADP	23	case
22	esa	DET	23	det
23	ciudad	NOUN	20	nmod
24	otorga	VERB	14	acl
25	anualmente	ADV	24	advmod
26	a	ADP	27	case
27	personas	NOUN	24	obj
28	que	PRON	31	nsubj
29	se	PRON	31	expl:pv
30	han	AUX	31	aux
31	comprometido	VERB	27	acl
32	con	ADP	34	case
33	el	DET	34	det
34	europeísmo	NOUN	31	obl
35	.	PUNCT	8	punct