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:
Se calcula que la inversión española directa en América Latina ascendió en 1998 a 12.636 millones de dólares, de acuerdo con las cifras facilitadas del propio gobierno español.
Postion	Tokenization
1	Se
2	calcula
3	que
4	la
5	inversión
6	española
7	directa
8	en
9	América
10	Latina
11	ascendió
12	en
13	1998
14	a
15	12.636
16	millones
17	de
18	dólares
19	,
20	de
21	acuerdo
22	con
23	las
24	cifras
25	facilitadas
26	del
27	propio
28	gobierno
29	español
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Se	PRON	2	expl:pass
2	calcula	VERB	0	root
3	que	SCONJ	11	mark
4	la	DET	5	det
5	inversión	NOUN	11	nsubj
6	española	ADJ	5	amod
7	directa	ADJ	5	amod
8	en	ADP	9	case
9	América	PROPN	5	nmod
10	Latina	PROPN	9	flat
11	ascendió	VERB	2	ccomp
12	en	ADP	13	case
13	1998	NOUN	11	obl
14	a	ADP	16	case
15	12.636	NUM	16	nummod
16	millones	NOUN	11	obj
17	de	ADP	18	case
18	dólares	NOUN	16	nmod
19	,	PUNCT	24	punct
20	de	ADP	24	case
21	acuerdo	NOUN	20	fixed
22	con	ADP	20	fixed
23	las	DET	24	det
24	cifras	NOUN	11	obl
25	facilitadas	ADJ	24	amod
26	del	ADP	28	case
27	propio	DET	28	det
28	gobierno	NOUN	24	nmod
29	español	ADJ	28	amod
30	.	PUNCT	2	punct