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:
Del análisis de la cuenta financiera (que mide la diferencia entre las inversiones españolas en el exterior y las del extranjero en España) se desprende la fortaleza de la inversión española.
Postion	Tokenization
1	Del
2	análisis
3	de
4	la
5	cuenta
6	financiera
7	(
8	que
9	mide
10	la
11	diferencia
12	entre
13	las
14	inversiones
15	españolas
16	en
17	el
18	exterior
19	y
20	las
21	del
22	extranjero
23	en
24	España
25	)
26	se
27	desprende
28	la
29	fortaleza
30	de
31	la
32	inversión
33	española
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Del	ADP	2	case
2	análisis	NOUN	27	obl
3	de	ADP	5	case
4	la	DET	5	det
5	cuenta	NOUN	2	nmod
6	financiera	ADJ	5	amod
7	(	PUNCT	9	punct
8	que	PRON	9	nsubj
9	mide	VERB	2	acl
10	la	DET	11	det
11	diferencia	NOUN	9	obj
12	entre	ADP	14	case
13	las	DET	14	det
14	inversiones	NOUN	11	nmod
15	españolas	ADJ	14	amod
16	en	ADP	18	case
17	el	DET	18	det
18	exterior	NOUN	14	nmod
19	y	CCONJ	20	cc
20	las	DET	11	conj
21	del	ADP	20	case
22	extranjero	NOUN	20	obj
23	en	ADP	24	case
24	España	PROPN	20	nmod
25	)	PUNCT	9	punct
26	se	PRON	27	expl:pv
27	desprende	VERB	0	root
28	la	DET	29	det
29	fortaleza	NOUN	27	nsubj
30	de	ADP	32	case
31	la	DET	32	det
32	inversión	NOUN	29	nmod
33	española	ADJ	32	amod
34	.	PUNCT	27	punct