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:
Así es que con cincuenta años bien cumplidos, Rosa Regás es casi una principiante, galardonada con el Nadal, cincuenta años después que Carmen Laforet.
Postion	Tokenization
1	Así
2	es
3	que
4	con
5	cincuenta
6	años
7	bien
8	cumplidos
9	,
10	Rosa
11	Regás
12	es
13	casi
14	una
15	principiante
16	,
17	galardonada
18	con
19	el
20	Nadal
21	,
22	cincuenta
23	años
24	después
25	que
26	Carmen
27	Laforet
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Así	ADV	15	advmod
2	es	NOUN	1	fixed
3	que	SCONJ	1	fixed
4	con	ADP	6	case
5	cincuenta	NUM	6	nummod
6	años	NOUN	10	nmod
7	bien	ADV	8	advmod
8	cumplidos	ADJ	6	amod
9	,	PUNCT	6	punct
10	Rosa	PROPN	15	nsubj
11	Regás	PROPN	10	flat
12	es	AUX	15	cop
13	casi	ADV	15	advmod
14	una	DET	15	det
15	principiante	NOUN	0	root
16	,	PUNCT	17	punct
17	galardonada	ADJ	15	amod
18	con	ADP	20	case
19	el	DET	20	det
20	Nadal	PROPN	17	obl
21	,	PUNCT	23	punct
22	cincuenta	NUM	23	nummod
23	años	NOUN	17	obl
24	después	ADV	26	mark
25	que	SCONJ	24	fixed
26	Carmen	PROPN	23	nmod
27	Laforet	PROPN	26	flat
28	.	PUNCT	15	punct