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:
"Estamos encantados con la aportación del Gobierno de España al plan de Colombia con 100 millones de dólares", dijo hoy Richard Boucher, portavoz del Departamento de Estado.
Postion	Tokenization
1	"
2	Estamos
3	encantados
4	con
5	la
6	aportación
7	del
8	Gobierno
9	de
10	España
11	al
12	plan
13	de
14	Colombia
15	con
16	100
17	millones
18	de
19	dólares
20	"
21	,
22	dijo
23	hoy
24	Richard
25	Boucher
26	,
27	portavoz
28	del
29	Departamento
30	de
31	Estado
32	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	3	punct
2	Estamos	AUX	3	cop
3	encantados	ADJ	22	ccomp
4	con	ADP	6	case
5	la	DET	6	det
6	aportación	NOUN	3	obl
7	del	ADP	8	case
8	Gobierno	PROPN	6	nmod
9	de	ADP	10	case
10	España	PROPN	8	flat
11	al	ADP	12	case
12	plan	NOUN	6	nmod
13	de	ADP	14	case
14	Colombia	PROPN	12	nmod
15	con	ADP	17	case
16	100	NUM	17	nummod
17	millones	NOUN	6	nmod
18	de	ADP	19	case
19	dólares	NOUN	17	nmod
20	"	PUNCT	3	punct
21	,	PUNCT	3	punct
22	dijo	VERB	0	root
23	hoy	ADV	22	advmod
24	Richard	PROPN	22	nsubj
25	Boucher	PROPN	24	flat
26	,	PUNCT	27	punct
27	portavoz	NOUN	24	appos
28	del	ADP	29	case
29	Departamento	PROPN	27	nmod
30	de	ADP	31	case
31	Estado	PROPN	29	flat
32	.	PUNCT	22	punct