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 portavoz del Departamento de Estado manifestó que EEUU "está especialmente agradecido a España por facilitar la conferencia y por contribuir con 100 millones de dólares".
Postion	Tokenization
1	El
2	portavoz
3	del
4	Departamento
5	de
6	Estado
7	manifestó
8	que
9	EEUU
10	"
11	está
12	especialmente
13	agradecido
14	a
15	España
16	por
17	facilitar
18	la
19	conferencia
20	y
21	por
22	contribuir
23	con
24	100
25	millones
26	de
27	dólares
28	"
29	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	portavoz	NOUN	7	nsubj
3	del	ADP	4	case
4	Departamento	PROPN	2	nmod
5	de	ADP	6	case
6	Estado	PROPN	4	flat
7	manifestó	VERB	0	root
8	que	SCONJ	13	mark
9	EEUU	PROPN	13	nsubj
10	"	PUNCT	13	punct
11	está	AUX	13	cop
12	especialmente	ADV	13	advmod
13	agradecido	ADJ	7	ccomp
14	a	ADP	15	case
15	España	PROPN	13	obj
16	por	ADP	17	mark
17	facilitar	VERB	13	advcl
18	la	DET	19	det
19	conferencia	NOUN	17	obj
20	y	CCONJ	22	cc
21	por	ADP	22	mark
22	contribuir	VERB	17	conj
23	con	ADP	25	case
24	100	NUM	25	nummod
25	millones	NOUN	22	obl
26	de	ADP	27	case
27	dólares	NOUN	25	nmod
28	"	PUNCT	13	punct
29	.	PUNCT	7	punct