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 se decía, en el murmulleo madrileño, que otro título posterior de Juan, Sub rosa, era una clara alusión a ella.
Postion	Tokenization
1	Y
2	se
3	decía
4	,
5	en
6	el
7	murmulleo
8	madrileño
9	,
10	que
11	otro
12	título
13	posterior
14	de
15	Juan
16	,
17	Sub
18	rosa
19	,
20	era
21	una
22	clara
23	alusión
24	a
25	ella
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Y	CCONJ	3	advmod
2	se	PRON	3	expl:pass
3	decía	VERB	0	root
4	,	PUNCT	7	punct
5	en	ADP	7	case
6	el	DET	7	det
7	murmulleo	NOUN	3	obl
8	madrileño	ADJ	7	amod
9	,	PUNCT	7	punct
10	que	SCONJ	23	mark
11	otro	DET	12	det
12	título	NOUN	23	nsubj
13	posterior	ADJ	12	amod
14	de	ADP	15	case
15	Juan	PROPN	12	nmod
16	,	PUNCT	17	punct
17	Sub	PROPN	12	appos
18	rosa	PROPN	17	flat
19	,	PUNCT	17	punct
20	era	AUX	23	cop
21	una	DET	23	det
22	clara	ADJ	23	amod
23	alusión	NOUN	3	csubj
24	a	ADP	25	case
25	ella	PRON	23	nmod
26	.	PUNCT	3	punct