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 el primer semestre de 1999, el Banco Urquijo, que cuenta con unos activos de 4.000 millones de dólares, tuvo unos resultados superiores en un 20,5 por ciento a los del mismo periodo de 1998.
Postion	Tokenization
1	En
2	el
3	primer
4	semestre
5	de
6	1999
7	,
8	el
9	Banco
10	Urquijo
11	,
12	que
13	cuenta
14	con
15	unos
16	activos
17	de
18	4.000
19	millones
20	de
21	dólares
22	,
23	tuvo
24	unos
25	resultados
26	superiores
27	en
28	un
29	20,5
30	por
31	ciento
32	a
33	los
34	del
35	mismo
36	periodo
37	de
38	1998
39	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	4	case
2	el	DET	4	det
3	primer	ADJ	4	amod
4	semestre	NOUN	23	obl
5	de	ADP	6	case
6	1999	NOUN	4	nmod
7	,	PUNCT	4	punct
8	el	DET	9	det
9	Banco	PROPN	23	nsubj
10	Urquijo	PROPN	9	flat
11	,	PUNCT	13	punct
12	que	PRON	13	nsubj
13	cuenta	VERB	9	acl
14	con	ADP	16	case
15	unos	DET	16	det
16	activos	NOUN	13	obj
17	de	ADP	19	case
18	4.000	NUM	19	nummod
19	millones	NOUN	16	nmod
20	de	ADP	21	case
21	dólares	NOUN	19	nmod
22	,	PUNCT	13	punct
23	tuvo	VERB	0	root
24	unos	DET	25	det
25	resultados	NOUN	23	obj
26	superiores	ADJ	25	amod
27	en	ADP	29	case
28	un	DET	29	det
29	20,5	NUM	26	nummod
30	por	ADP	31	case
31	ciento	NUM	29	compound
32	a	ADP	33	case
33	los	DET	26	det
34	del	ADP	33	case
35	mismo	DET	36	det
36	periodo	NOUN	33	nmod
37	de	ADP	38	case
38	1998	NOUN	36	nmod
39	.	PUNCT	23	punct