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:
Sin Hurley, el Duke de esta temporada, reaprende a jugar a la altura de los mortales: más de veinte pérdidas de balón ante Michigan.
Postion	Tokenization
1	Sin
2	Hurley
3	,
4	el
5	Duke
6	de
7	esta
8	temporada
9	,
10	reaprende
11	a
12	jugar
13	a
14	la
15	altura
16	de
17	los
18	mortales
19	:
20	más
21	de
22	veinte
23	pérdidas
24	de
25	balón
26	ante
27	Michigan
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Sin	ADP	2	case
2	Hurley	PROPN	10	obl
3	,	PUNCT	5	punct
4	el	DET	5	det
5	Duke	PROPN	10	nsubj
6	de	ADP	8	case
7	esta	DET	8	det
8	temporada	NOUN	5	nmod
9	,	PUNCT	5	punct
10	reaprende	VERB	0	root
11	a	ADP	12	mark
12	jugar	VERB	10	xcomp
13	a	ADP	15	case
14	la	DET	15	det
15	altura	NOUN	12	obj
16	de	ADP	18	case
17	los	DET	18	det
18	mortales	NOUN	15	nmod
19	:	PUNCT	23	punct
20	más	ADV	22	advmod
21	de	ADP	20	fixed
22	veinte	NUM	23	nummod
23	pérdidas	NOUN	10	iobj
24	de	ADP	25	case
25	balón	NOUN	23	nmod
26	ante	ADP	27	case
27	Michigan	PROPN	23	nmod
28	.	PUNCT	10	punct