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:
En EEUU la ausencia de factores que inviten a pensar en un encarecimiento mayor de los tipos de interés contribuyeron al alza del dólar respecto al yen.
Postion	Tokenization
1	En
2	EEUU
3	la
4	ausencia
5	de
6	factores
7	que
8	inviten
9	a
10	pensar
11	en
12	un
13	encarecimiento
14	mayor
15	de
16	los
17	tipos
18	de
19	interés
20	contribuyeron
21	al
22	alza
23	del
24	dólar
25	respecto
26	al
27	yen
28	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	2	case
2	EEUU	PROPN	20	obl
3	la	DET	4	det
4	ausencia	NOUN	20	nsubj
5	de	ADP	6	case
6	factores	NOUN	4	nmod
7	que	PRON	8	nsubj
8	inviten	VERB	6	acl
9	a	ADP	10	mark
10	pensar	VERB	8	xcomp
11	en	ADP	13	case
12	un	DET	13	det
13	encarecimiento	NOUN	10	obj
14	mayor	ADJ	13	amod
15	de	ADP	17	case
16	los	DET	17	det
17	tipos	NOUN	13	nmod
18	de	ADP	19	case
19	interés	NOUN	17	nmod
20	contribuyeron	VERB	0	root
21	al	ADP	22	case
22	alza	NOUN	20	obj
23	del	ADP	24	case
24	dólar	NOUN	22	nmod
25	respecto	NOUN	27	case
26	al	ADP	25	fixed
27	yen	NOUN	22	nmod
28	.	PUNCT	20	punct