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:
Muchachas de todas las edades y nacionalidades, aunque, si he de ser sincera, las que más éxito tenían eran las norteamericanas.
Postion	Tokenization
1	Muchachas
2	de
3	todas
4	las
5	edades
6	y
7	nacionalidades
8	,
9	aunque
10	,
11	si
12	he
13	de
14	ser
15	sincera
16	,
17	las
18	que
19	más
20	éxito
21	tenían
22	eran
23	las
24	norteamericanas
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Muchachas	NOUN	24	obj
2	de	ADP	5	case
3	todas	DET	4	det
4	las	DET	5	det
5	edades	NOUN	1	nmod
6	y	CCONJ	7	cc
7	nacionalidades	NOUN	5	conj
8	,	PUNCT	24	punct
9	aunque	SCONJ	24	mark
10	,	PUNCT	15	punct
11	si	SCONJ	15	mark
12	he	AUX	15	aux
13	de	ADP	15	case
14	ser	AUX	15	cop
15	sincera	ADJ	24	advcl
16	,	PUNCT	15	punct
17	las	DET	21	det
18	que	PRON	21	nsubj
19	más	ADV	20	advmod
20	éxito	NOUN	21	obj
21	tenían	VERB	24	csubj
22	eran	AUX	24	cop
23	las	DET	24	det
24	norteamericanas	NOUN	0	root
25	.	PUNCT	24	punct