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:
Justamente esa presencia interior es la que ahora le falta a Michigan, un equipo donde un superdotado como Chris Webber llegó a aburrirse profundamente y por ello huyó hacia Golden State.
Postion	Tokenization
1	Justamente
2	esa
3	presencia
4	interior
5	es
6	la
7	que
8	ahora
9	le
10	falta
11	a
12	Michigan
13	,
14	un
15	equipo
16	donde
17	un
18	superdotado
19	como
20	Chris
21	Webber
22	llegó
23	a
24	aburrirse
25	aburrir
26	se
27	profundamente
28	y
29	por
30	ello
31	huyó
32	hacia
33	Golden
34	State
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Justamente	ADV	5	advmod
2	esa	DET	3	det
3	presencia	NOUN	5	nsubj
4	interior	ADJ	3	amod
5	es	AUX	0	root
6	la	DET	10	det
7	que	PRON	10	nsubj
8	ahora	ADV	10	advmod
9	le	PRON	10	obj
10	falta	VERB	5	ccomp
11	a	ADP	12	case
12	Michigan	PROPN	10	obj
13	,	PUNCT	15	punct
14	un	DET	15	det
15	equipo	NOUN	12	appos
16	donde	PRON	22	obl
17	un	DET	18	det
18	superdotado	NOUN	22	nsubj
19	como	SCONJ	20	mark
20	Chris	PROPN	18	nmod
21	Webber	PROPN	20	flat
22	llegó	VERB	15	acl
23	a	ADP	24	mark
24	aburrirse	_	None	_
25	aburrir	VERB	22	xcomp
26	se	PRON	24	expl:pv
27	profundamente	ADV	22	advmod
28	y	CCONJ	30	cc
29	por	ADP	29	case
30	ello	PRON	30	obl
31	huyó	VERB	5	conj
32	hacia	ADP	32	case
33	Golden	PROPN	30	obl
34	State	PROPN	32	flat
35	.	PUNCT	5	punct