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:
Una señora que había acudido a vitorearlo, al saber que el Príncipe dormía en la ciudad se mostraba incrédula por considerar que ese detalle "es mucho para Teruel".
Postion	Tokenization
1	Una
2	señora
3	que
4	había
5	acudido
6	a
7	vitorearlo
8	vitorear
9	lo
10	,
11	al
12	saber
13	que
14	el
15	Príncipe
16	dormía
17	en
18	la
19	ciudad
20	se
21	mostraba
22	incrédula
23	por
24	considerar
25	que
26	ese
27	detalle
28	"
29	es
30	mucho
31	para
32	Teruel
33	"
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Una	DET	2	det
2	señora	NOUN	20	nsubj
3	que	PRON	5	nsubj
4	había	AUX	5	aux
5	acudido	VERB	2	acl
6	a	ADP	7	mark
7	vitorearlo	_	None	_
8	vitorear	VERB	5	advcl
9	lo	PRON	7	obj
10	,	PUNCT	5	punct
11	al	ADP	15	mark
12	saber	AUX	15	aux
13	que	SCONJ	15	mark
14	el	DET	14	det
15	Príncipe	PROPN	15	nsubj
16	dormía	VERB	20	advcl
17	en	ADP	18	case
18	la	DET	18	det
19	ciudad	NOUN	15	obl
20	se	PRON	20	expl:pv
21	mostraba	VERB	0	root
22	incrédula	ADJ	20	obj
23	por	ADP	23	mark
24	considerar	VERB	21	acl
25	que	SCONJ	29	mark
26	ese	DET	26	det
27	detalle	NOUN	29	nsubj
28	"	PUNCT	29	punct
29	es	AUX	29	cop
30	mucho	ADV	23	ccomp
31	para	ADP	31	case
32	Teruel	PROPN	29	obl
33	"	PUNCT	29	punct
34	.	PUNCT	20	punct