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:
A todas ellas les ha quedado el sabor dulzón de aquellos años y grabada la huella de su paso por Madrid, Sevilla, Santiago de Compostela o Pamplona.
Postion	Tokenization
1	A
2	todas
3	ellas
4	les
5	ha
6	quedado
7	el
8	sabor
9	dulzón
10	de
11	aquellos
12	años
13	y
14	grabada
15	la
16	huella
17	de
18	su
19	paso
20	por
21	Madrid
22	,
23	Sevilla
24	,
25	Santiago
26	de
27	Compostela
28	o
29	Pamplona
30	.
Position	Tokenization	UPOS	Head	Deprel
1	A	ADP	3	case
2	todas	DET	3	det
3	ellas	PRON	6	obj
4	les	PRON	6	obj
5	ha	AUX	6	aux
6	quedado	VERB	0	root
7	el	DET	8	det
8	sabor	NOUN	6	nsubj
9	dulzón	ADJ	8	amod
10	de	ADP	12	case
11	aquellos	DET	12	det
12	años	NOUN	8	nmod
13	y	CCONJ	14	cc
14	grabada	ADJ	6	conj
15	la	DET	16	det
16	huella	NOUN	14	obj
17	de	ADP	19	case
18	su	DET	19	det
19	paso	NOUN	16	nmod
20	por	ADP	21	case
21	Madrid	PROPN	19	nmod
22	,	PUNCT	23	punct
23	Sevilla	PROPN	21	conj
24	,	PUNCT	25	punct
25	Santiago	PROPN	21	conj
26	de	ADP	27	case
27	Compostela	PROPN	25	flat
28	o	CCONJ	29	cc
29	Pamplona	PROPN	21	conj
30	.	PUNCT	6	punct