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 vicepresidente de EEUU, por su parte, dijo que él veía a Estados Unidos "haciendo promoción de los valores humanos y de la democracia....
Postion	Tokenization
1	El
2	vicepresidente
3	de
4	EEUU
5	,
6	por
7	su
8	parte
9	,
10	dijo
11	que
12	él
13	veía
14	a
15	Estados
16	Unidos
17	"
18	haciendo
19	promoción
20	de
21	los
22	valores
23	humanos
24	y
25	de
26	la
27	democracia
28	...
29	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	vicepresidente	NOUN	10	nsubj
3	de	ADP	4	case
4	EEUU	PROPN	2	nmod
5	,	PUNCT	8	punct
6	por	ADP	8	case
7	su	DET	8	det
8	parte	NOUN	10	obl
9	,	PUNCT	8	punct
10	dijo	VERB	0	root
11	que	SCONJ	13	mark
12	él	PRON	13	nsubj
13	veía	VERB	10	ccomp
14	a	ADP	15	case
15	Estados	PROPN	13	obj
16	Unidos	PROPN	15	flat
17	"	PUNCT	18	punct
18	haciendo	VERB	13	advcl
19	promoción	NOUN	18	obj
20	de	ADP	22	case
21	los	DET	22	det
22	valores	NOUN	19	nmod
23	humanos	ADJ	22	amod
24	y	CCONJ	27	cc
25	de	ADP	27	case
26	la	DET	27	det
27	democracia	NOUN	22	conj
28	...	PUNCT	10	punct
29	.	PUNCT	10	punct