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:
Y así - desde los recuerdos, desde el aroma de las tradiciones literarias y de los caminos andados y bebidos - me supongo que el Nadal ha acertado premiando a una escritora nueva, que ha vivido mil años como mujer de libros y entre libros.
Postion	Tokenization
1	Y
2	así
3	-
4	desde
5	los
6	recuerdos
7	,
8	desde
9	el
10	aroma
11	de
12	las
13	tradiciones
14	literarias
15	y
16	de
17	los
18	caminos
19	andados
20	y
21	bebidos
22	-
23	me
24	supongo
25	que
26	el
27	Nadal
28	ha
29	acertado
30	premiando
31	a
32	una
33	escritora
34	nueva
35	,
36	que
37	ha
38	vivido
39	mil
40	años
41	como
42	mujer
43	de
44	libros
45	y
46	entre
47	libros
48	.
Position	Tokenization	UPOS	Head	Deprel
1	Y	CCONJ	24	advmod
2	así	ADV	24	advmod
3	-	PUNCT	6	punct
4	desde	ADP	6	case
5	los	DET	6	det
6	recuerdos	NOUN	24	obl
7	,	PUNCT	10	punct
8	desde	ADP	10	case
9	el	DET	10	det
10	aroma	NOUN	6	conj
11	de	ADP	13	case
12	las	DET	13	det
13	tradiciones	NOUN	10	nmod
14	literarias	ADJ	13	amod
15	y	CCONJ	18	cc
16	de	ADP	18	case
17	los	DET	18	det
18	caminos	NOUN	13	conj
19	andados	ADJ	18	amod
20	y	CCONJ	21	cc
21	bebidos	ADJ	19	conj
22	-	PUNCT	6	punct
23	me	PRON	24	expl:pv
24	supongo	VERB	0	root
25	que	SCONJ	29	mark
26	el	DET	27	det
27	Nadal	PROPN	29	nsubj
28	ha	AUX	29	aux
29	acertado	VERB	24	ccomp
30	premiando	VERB	29	advcl
31	a	ADP	33	case
32	una	DET	33	det
33	escritora	NOUN	30	obj
34	nueva	ADJ	33	amod
35	,	PUNCT	38	punct
36	que	PRON	38	nsubj
37	ha	AUX	38	aux
38	vivido	VERB	33	acl
39	mil	NUM	40	nummod
40	años	NOUN	38	obl
41	como	SCONJ	42	mark
42	mujer	NOUN	38	obl
43	de	ADP	44	case
44	libros	NOUN	42	nmod
45	y	CCONJ	47	cc
46	entre	ADP	47	case
47	libros	NOUN	42	conj
48	.	PUNCT	24	punct