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:
Si se lo hubiese propuesto, habría alcanzado a Camargo y obtenido un botín de, al menos, y según el origen kilométrico del ataque, otros treinta segundos sobre Zarrabeitia y Zülle, la Doble Zeta del podio.
Postion	Tokenization
1	Si
2	se
3	lo
4	hubiese
5	propuesto
6	,
7	habría
8	alcanzado
9	a
10	Camargo
11	y
12	obtenido
13	un
14	botín
15	de
16	,
17	al
18	menos
19	,
20	y
21	según
22	el
23	origen
24	kilométrico
25	del
26	ataque
27	,
28	otros
29	treinta
30	segundos
31	sobre
32	Zarrabeitia
33	y
34	Zülle
35	,
36	la
37	Doble
38	Zeta
39	del
40	podio
41	.
Position	Tokenization	UPOS	Head	Deprel
1	Si	SCONJ	5	mark
2	se	PRON	5	iobj
3	lo	PRON	5	obj
4	hubiese	AUX	5	aux
5	propuesto	VERB	0	root
6	,	PUNCT	5	punct
7	habría	AUX	8	aux
8	alcanzado	VERB	5	advcl
9	a	ADP	10	case
10	Camargo	PROPN	8	obj
11	y	CCONJ	12	cc
12	obtenido	VERB	8	conj
13	un	DET	14	det
14	botín	NOUN	12	obj
15	de	ADP	30	case
16	,	PUNCT	17	punct
17	al	ADP	30	advmod
18	menos	ADV	17	fixed
19	,	PUNCT	17	punct
20	y	CCONJ	23	cc
21	según	ADP	23	case
22	el	DET	23	det
23	origen	NOUN	17	conj
24	kilométrico	ADJ	23	amod
25	del	ADP	26	case
26	ataque	NOUN	23	nmod
27	,	PUNCT	17	punct
28	otros	DET	30	det
29	treinta	NUM	28	nummod
30	segundos	NOUN	14	nmod
31	sobre	ADP	32	case
32	Zarrabeitia	PROPN	30	nmod
33	y	CCONJ	34	cc
34	Zülle	PROPN	32	conj
35	,	PUNCT	37	punct
36	la	DET	37	det
37	Doble	PROPN	32	appos
38	Zeta	PROPN	37	flat
39	del	ADP	40	case
40	podio	NOUN	37	nmod
41	.	PUNCT	5	punct