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:
Alberto Fernández ha subrayado que, tras el 12 de marzo, se ha demostrado que "el PP ocupa una posición central al alza en Cataluña".
Postion	Tokenization
1	Alberto
2	Fernández
3	ha
4	subrayado
5	que
6	,
7	tras
8	el
9	12
10	de
11	marzo
12	,
13	se
14	ha
15	demostrado
16	que
17	"
18	el
19	PP
20	ocupa
21	una
22	posición
23	central
24	al
25	alza
26	en
27	Cataluña
28	"
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Alberto	PROPN	4	nsubj
2	Fernández	PROPN	1	flat
3	ha	AUX	4	aux
4	subrayado	VERB	0	root
5	que	SCONJ	15	mark
6	,	PUNCT	9	punct
7	tras	ADP	9	case
8	el	DET	9	det
9	12	NUM	15	obl
10	de	ADP	11	case
11	marzo	NOUN	9	compound
12	,	PUNCT	9	punct
13	se	PRON	15	expl:pass
14	ha	AUX	15	aux
15	demostrado	VERB	4	ccomp
16	que	SCONJ	20	mark
17	"	PUNCT	20	punct
18	el	DET	19	det
19	PP	PROPN	20	nsubj
20	ocupa	VERB	15	csubj
21	una	DET	22	det
22	posición	NOUN	20	obj
23	central	ADJ	22	amod
24	al	ADP	25	case
25	alza	NOUN	22	nmod
26	en	ADP	27	case
27	Cataluña	PROPN	25	nmod
28	"	PUNCT	20	punct
29	.	PUNCT	4	punct