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:
En la Universidad "no estaba seguro de lo que Al iba a acabar haciendo con su vida, pero siempre supe que tenía el cerebro y el corazón para cambiar el mundo entero", aseguró el actor.
Postion	Tokenization
1	En
2	la
3	Universidad
4	"
5	no
6	estaba
7	seguro
8	de
9	lo
10	que
11	Al
12	iba
13	a
14	acabar
15	haciendo
16	con
17	su
18	vida
19	,
20	pero
21	siempre
22	supe
23	que
24	tenía
25	el
26	cerebro
27	y
28	el
29	corazón
30	para
31	cambiar
32	el
33	mundo
34	entero
35	"
36	,
37	aseguró
38	el
39	actor
40	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	la	DET	3	det
3	Universidad	PROPN	7	obl
4	"	PUNCT	7	punct
5	no	ADV	7	advmod
6	estaba	AUX	7	cop
7	seguro	ADJ	37	ccomp
8	de	ADP	14	mark
9	lo	PRON	15	det
10	que	PRON	14	obj
11	Al	PROPN	14	nsubj
12	iba	AUX	14	aux
13	a	ADP	14	mark
14	acabar	VERB	7	acl
15	haciendo	VERB	14	xcomp
16	con	ADP	18	case
17	su	DET	18	det
18	vida	NOUN	14	obl
19	,	PUNCT	22	punct
20	pero	CCONJ	22	cc
21	siempre	ADV	22	advmod
22	supe	VERB	7	conj
23	que	SCONJ	24	mark
24	tenía	VERB	22	ccomp
25	el	DET	26	det
26	cerebro	NOUN	24	obj
27	y	CCONJ	29	cc
28	el	DET	29	det
29	corazón	NOUN	26	conj
30	para	ADP	31	mark
31	cambiar	VERB	26	acl
32	el	DET	33	det
33	mundo	NOUN	31	obj
34	entero	ADJ	33	amod
35	"	PUNCT	7	punct
36	,	PUNCT	7	punct
37	aseguró	VERB	0	root
38	el	DET	39	det
39	actor	NOUN	37	nsubj
40	.	PUNCT	37	punct