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:
Mientras estudiaba Ciencias de la Información en la UAB (donde se licenció en 1987) fue conserje en El Noticiero Universal.
Postion	Tokenization
1	Mientras
2	estudiaba
3	Ciencias
4	de
5	la
6	Información
7	en
8	la
9	UAB
10	(
11	donde
12	se
13	licenció
14	en
15	1987
16	)
17	fue
18	conserje
19	en
20	El
21	Noticiero
22	Universal
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Mientras	SCONJ	2	mark
2	estudiaba	VERB	18	advcl
3	Ciencias	PROPN	2	obj
4	de	ADP	6	case
5	la	DET	6	det
6	Información	PROPN	3	flat
7	en	ADP	9	case
8	la	DET	9	det
9	UAB	PROPN	2	obl
10	(	PUNCT	13	punct
11	donde	PRON	13	obl
12	se	PRON	13	expl:pv
13	licenció	VERB	9	acl
14	en	ADP	15	case
15	1987	NOUN	13	obl
16	)	PUNCT	13	punct
17	fue	AUX	18	cop
18	conserje	NOUN	0	root
19	en	ADP	21	case
20	El	DET	21	det
21	Noticiero	PROPN	18	obl
22	Universal	PROPN	21	flat
23	.	PUNCT	18	punct