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:
"Para ser metal en unos Juegos Olímpicos, aunque la federación española nos apoya con muchos medios, aún es necesario aumentarlos para que podamos entrenar un número mayor caballos con las mismas garantías de éxito que los alemanes", subraya la amazona.
Postion	Tokenization
1	"
2	Para
3	ser
4	metal
5	en
6	unos
7	Juegos
8	Olímpicos
9	,
10	aunque
11	la
12	federación
13	española
14	nos
15	apoya
16	con
17	muchos
18	medios
19	,
20	aún
21	es
22	necesario
23	aumentarlos
24	aumentar
25	los
26	para
27	que
28	podamos
29	entrenar
30	un
31	número
32	mayor
33	caballos
34	con
35	las
36	mismas
37	garantías
38	de
39	éxito
40	que
41	los
42	alemanes
43	"
44	,
45	subraya
46	la
47	amazona
48	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	22	punct
2	Para	ADP	4	mark
3	ser	AUX	4	cop
4	metal	NOUN	22	advcl
5	en	ADP	7	case
6	unos	DET	7	det
7	Juegos	PROPN	4	obl
8	Olímpicos	PROPN	7	flat
9	,	PUNCT	15	punct
10	aunque	SCONJ	15	mark
11	la	DET	12	det
12	federación	NOUN	15	nsubj
13	española	ADJ	12	amod
14	nos	PRON	15	iobj
15	apoya	VERB	22	advcl
16	con	ADP	18	case
17	muchos	DET	18	det
18	medios	NOUN	15	obl
19	,	PUNCT	15	punct
20	aún	ADV	22	advmod
21	es	AUX	22	cop
22	necesario	ADJ	44	ccomp
23	aumentarlos	_	None	_
24	aumentar	VERB	22	csubj
25	los	PRON	23	obj
26	para	ADP	28	mark
27	que	SCONJ	28	mark
28	podamos	AUX	28	aux
29	entrenar	VERB	22	advcl
30	un	DET	30	det
31	número	NOUN	28	obj
32	mayor	ADJ	30	amod
33	caballos	NOUN	30	appos
34	con	ADP	36	case
35	las	DET	36	det
36	mismas	DET	34	det
37	garantías	NOUN	28	obl
38	de	ADP	38	case
39	éxito	NOUN	36	nmod
40	que	PRON	41	nmod
41	los	DET	41	det
42	alemanes	NOUN	36	nmod
43	"	PUNCT	22	punct
44	,	PUNCT	22	punct
45	subraya	VERB	0	root
46	la	DET	46	det
47	amazona	NOUN	44	nsubj
48	.	PUNCT	44	punct