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:
El resultado recuerda, salvando las distancias, al filme medular del melodrama romántico hollywoodiense, Tú y yo, y las muchas revisiones que ha tenido en los últimos años, Algo para recordar a la cabeza.
Postion	Tokenization
1	El
2	resultado
3	recuerda
4	,
5	salvando
6	las
7	distancias
8	,
9	al
10	filme
11	medular
12	del
13	melodrama
14	romántico
15	hollywoodiense
16	,
17	Tú
18	y
19	yo
20	,
21	y
22	las
23	muchas
24	revisiones
25	que
26	ha
27	tenido
28	en
29	los
30	últimos
31	años
32	,
33	Algo
34	para
35	recordar
36	a
37	la
38	cabeza
39	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	resultado	NOUN	3	nsubj
3	recuerda	VERB	0	root
4	,	PUNCT	5	punct
5	salvando	VERB	3	advcl
6	las	DET	7	det
7	distancias	NOUN	5	obj
8	,	PUNCT	5	punct
9	al	ADP	10	case
10	filme	NOUN	3	obj
11	medular	ADJ	10	amod
12	del	ADP	13	case
13	melodrama	NOUN	10	nmod
14	romántico	ADJ	13	amod
15	hollywoodiense	ADJ	13	amod
16	,	PUNCT	17	punct
17	Tú	PRON	10	appos
18	y	CCONJ	19	cc
19	yo	PRON	17	conj
20	,	PUNCT	17	punct
21	y	CCONJ	24	cc
22	las	DET	24	det
23	muchas	DET	22	det
24	revisiones	NOUN	10	conj
25	que	PRON	27	obj
26	ha	AUX	27	aux
27	tenido	VERB	24	acl
28	en	ADP	31	case
29	los	DET	31	det
30	últimos	ADJ	31	amod
31	años	NOUN	27	obl
32	,	PUNCT	33	punct
33	Algo	PROPN	24	appos
34	para	ADP	35	case
35	recordar	PROPN	33	flat
36	a	ADP	38	case
37	la	DET	38	det
38	cabeza	NOUN	33	nmod
39	.	PUNCT	3	punct