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 galardón, concedido cada año por esa institución privada sin ánimo de lucro y dedicada a la difusión de la cultura hispánica, fue entregada por el presidente del Spanish Institute, Fernando Abreu, y el príncipe Pablo de Grecia, primo de don Felipe actuó como maestro de ceremonias.
Postion	Tokenization
1	El
2	galardón
3	,
4	concedido
5	cada
6	año
7	por
8	esa
9	institución
10	privada
11	sin
12	ánimo
13	de
14	lucro
15	y
16	dedicada
17	a
18	la
19	difusión
20	de
21	la
22	cultura
23	hispánica
24	,
25	fue
26	entregada
27	por
28	el
29	presidente
30	del
31	Spanish
32	Institute
33	,
34	Fernando
35	Abreu
36	,
37	y
38	el
39	príncipe
40	Pablo
41	de
42	Grecia
43	,
44	primo
45	de
46	don
47	Felipe
48	actuó
49	como
50	maestro
51	de
52	ceremonias
53	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	galardón	NOUN	26	nsubj
3	,	PUNCT	4	punct
4	concedido	ADJ	2	amod
5	cada	DET	6	det
6	año	NOUN	4	obl
7	por	ADP	9	case
8	esa	DET	9	det
9	institución	NOUN	4	obj
10	privada	ADJ	9	amod
11	sin	ADP	12	case
12	ánimo	NOUN	9	nmod
13	de	ADP	14	case
14	lucro	NOUN	12	nmod
15	y	CCONJ	16	cc
16	dedicada	ADJ	12	conj
17	a	ADP	19	case
18	la	DET	19	det
19	difusión	NOUN	16	obj
20	de	ADP	22	case
21	la	DET	22	det
22	cultura	NOUN	19	nmod
23	hispánica	ADJ	22	amod
24	,	PUNCT	4	punct
25	fue	AUX	26	aux
26	entregada	VERB	0	root
27	por	ADP	29	case
28	el	DET	29	det
29	presidente	NOUN	26	obj
30	del	ADP	31	case
31	Spanish	PROPN	29	nmod
32	Institute	PROPN	31	flat
33	,	PUNCT	34	punct
34	Fernando	PROPN	29	appos
35	Abreu	PROPN	34	flat
36	,	PUNCT	34	punct
37	y	CCONJ	48	cc
38	el	DET	39	det
39	príncipe	NOUN	48	nsubj
40	Pablo	PROPN	39	appos
41	de	ADP	42	case
42	Grecia	PROPN	40	flat
43	,	PUNCT	44	punct
44	primo	NOUN	39	appos
45	de	ADP	47	case
46	don	NOUN	44	nmod
47	Felipe	PROPN	46	flat
48	actuó	VERB	26	conj
49	como	SCONJ	50	mark
50	maestro	NOUN	48	obl
51	de	ADP	52	case
52	ceremonias	NOUN	50	nmod
53	.	PUNCT	26	punct