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:
El estadounidense Eric Walder, medalla de bronce en el pasado Mundial en pista cubierta de Japón, saltó ayer 8,50 metros en Oslo, con la ayuda, ligeramente excesiva, del viento.
Postion	Tokenization
1	El
2	estadounidense
3	Eric
4	Walder
5	,
6	medalla
7	de
8	bronce
9	en
10	el
11	pasado
12	Mundial
13	en
14	pista
15	cubierta
16	de
17	Japón
18	,
19	saltó
20	ayer
21	8,50
22	metros
23	en
24	Oslo
25	,
26	con
27	la
28	ayuda
29	,
30	ligeramente
31	excesiva
32	,
33	del
34	viento
35	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	estadounidense	NOUN	19	nsubj
3	Eric	PROPN	2	appos
4	Walder	PROPN	3	flat
5	,	PUNCT	6	punct
6	medalla	NOUN	2	appos
7	de	ADP	8	case
8	bronce	NOUN	6	nmod
9	en	ADP	12	case
10	el	DET	12	det
11	pasado	ADJ	12	amod
12	Mundial	PROPN	6	nmod
13	en	ADP	14	case
14	pista	NOUN	6	nmod
15	cubierta	ADJ	14	amod
16	de	ADP	17	case
17	Japón	PROPN	14	nmod
18	,	PUNCT	6	punct
19	saltó	VERB	0	root
20	ayer	ADV	19	advmod
21	8,50	NUM	22	nummod
22	metros	NOUN	19	obl
23	en	ADP	24	case
24	Oslo	PROPN	19	obl
25	,	PUNCT	28	punct
26	con	ADP	28	case
27	la	DET	28	det
28	ayuda	NOUN	19	obl
29	,	PUNCT	31	punct
30	ligeramente	ADV	31	advmod
31	excesiva	ADJ	28	amod
32	,	PUNCT	31	punct
33	del	ADP	34	case
34	viento	NOUN	28	nmod
35	.	PUNCT	19	punct