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:
Licenciada en Filología Hispánica y Catalana, Pilar Rahola ha estado en las últimas semanas en el ojo del huracán informativo.
Postion	Tokenization
1	Licenciada
2	en
3	Filología
4	Hispánica
5	y
6	Catalana
7	,
8	Pilar
9	Rahola
10	ha
11	estado
12	en
13	las
14	últimas
15	semanas
16	en
17	el
18	ojo
19	del
20	huracán
21	informativo
22	.
Position	Tokenization	UPOS	Head	Deprel
1	Licenciada	ADJ	8	amod
2	en	ADP	3	case
3	Filología	PROPN	1	obj
4	Hispánica	PROPN	3	flat
5	y	CCONJ	6	cc
6	Catalana	PROPN	3	conj
7	,	PUNCT	1	punct
8	Pilar	PROPN	11	nsubj
9	Rahola	PROPN	8	flat
10	ha	AUX	11	aux
11	estado	VERB	0	root
12	en	ADP	15	case
13	las	DET	15	det
14	últimas	ADJ	15	amod
15	semanas	NOUN	11	obl
16	en	ADP	18	case
17	el	DET	18	det
18	ojo	NOUN	11	obj
19	del	ADP	20	case
20	huracán	NOUN	18	nmod
21	informativo	ADJ	20	amod
22	.	PUNCT	11	punct