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:
Spadea, de 26 años, participó con el equipo estadounidense en las semifinales de Copa Davis, eliminatoria en la que perdió frente al español Juan Carlos Ferrero y en la que venció finalmente España por 5-0.
Postion	Tokenization
1	Spadea
2	,
3	de
4	26
5	años
6	,
7	participó
8	con
9	el
10	equipo
11	estadounidense
12	en
13	las
14	semifinales
15	de
16	Copa
17	Davis
18	,
19	eliminatoria
20	en
21	la
22	que
23	perdió
24	frente
25	al
26	español
27	Juan
28	Carlos
29	Ferrero
30	y
31	en
32	la
33	que
34	venció
35	finalmente
36	España
37	por
38	5-0
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Spadea	PROPN	7	nsubj
2	,	PUNCT	5	punct
3	de	ADP	5	case
4	26	NUM	5	nummod
5	años	NOUN	1	nmod
6	,	PUNCT	5	punct
7	participó	VERB	0	root
8	con	ADP	10	case
9	el	DET	10	det
10	equipo	NOUN	7	obl
11	estadounidense	ADJ	10	amod
12	en	ADP	14	case
13	las	DET	14	det
14	semifinales	NOUN	7	obj
15	de	ADP	16	case
16	Copa	PROPN	14	nmod
17	Davis	PROPN	16	flat
18	,	PUNCT	19	punct
19	eliminatoria	NOUN	14	appos
20	en	ADP	22	case
21	la	DET	22	det
22	que	PRON	23	obl
23	perdió	VERB	19	acl
24	frente	NOUN	23	advmod
25	al	ADP	24	fixed
26	español	NOUN	24	obl
27	Juan	PROPN	26	appos
28	Carlos	PROPN	27	flat
29	Ferrero	PROPN	27	flat
30	y	CCONJ	34	cc
31	en	ADP	33	case
32	la	DET	33	det
33	que	PRON	34	obl
34	venció	VERB	23	conj
35	finalmente	ADV	34	advmod
36	España	PROPN	34	nsubj
37	por	ADP	38	case
38	5-0	NUM	34	obl
39	.	PUNCT	7	punct