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:
Y, entre dos equipos que se han quedado incompletos, la falta de un intimidador bajo los aros le pesa más a Michigan que la de un base a Duke.
Postion	Tokenization
1	Y
2	,
3	entre
4	dos
5	equipos
6	que
7	se
8	han
9	quedado
10	incompletos
11	,
12	la
13	falta
14	de
15	un
16	intimidador
17	bajo
18	los
19	aros
20	le
21	pesa
22	más
23	a
24	Michigan
25	que
26	la
27	de
28	un
29	base
30	a
31	Duke
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Y	CCONJ	21	advmod
2	,	PUNCT	5	punct
3	entre	ADP	5	case
4	dos	NUM	5	nummod
5	equipos	NOUN	21	obl
6	que	PRON	9	nsubj
7	se	PRON	9	expl:pv
8	han	AUX	9	aux
9	quedado	VERB	5	acl
10	incompletos	ADJ	9	obj
11	,	PUNCT	5	punct
12	la	DET	13	det
13	falta	NOUN	21	nsubj
14	de	ADP	16	case
15	un	DET	16	det
16	intimidador	NOUN	13	nmod
17	bajo	ADP	19	case
18	los	DET	19	det
19	aros	NOUN	13	nmod
20	le	PRON	21	obj
21	pesa	VERB	0	root
22	más	ADV	21	obj
23	a	ADP	24	case
24	Michigan	PROPN	21	obj
25	que	SCONJ	26	mark
26	la	DET	21	det
27	de	ADP	26	case
28	un	DET	29	det
29	base	NOUN	26	obl
30	a	ADP	31	case
31	Duke	PROPN	26	nmod
32	.	PUNCT	21	punct