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 mujer de 53 años que buscó a los compradores, otra de 23 que actuó como intermediaria y al padre de los bebés.
Postion	Tokenization
1	Una
2	mujer
3	de
4	53
5	años
6	que
7	buscó
8	a
9	los
10	compradores
11	,
12	otra
13	de
14	23
15	que
16	actuó
17	como
18	intermediaria
19	y
20	al
21	padre
22	de
23	los
24	bebés
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Una	DET	2	det
2	mujer	NOUN	0	root
3	de	ADP	5	case
4	53	NUM	5	nummod
5	años	NOUN	2	nmod
6	que	PRON	7	nsubj
7	buscó	VERB	2	acl
8	a	ADP	10	case
9	los	DET	10	det
10	compradores	NOUN	7	obj
11	,	PUNCT	12	punct
12	otra	PRON	2	appos
13	de	ADP	14	case
14	23	NUM	12	nummod
15	que	PRON	16	nsubj
16	actuó	VERB	12	acl
17	como	SCONJ	18	mark
18	intermediaria	NOUN	16	obl
19	y	CCONJ	21	cc
20	al	ADP	21	case
21	padre	NOUN	2	conj
22	de	ADP	24	case
23	los	DET	24	det
24	bebés	NOUN	21	nmod
25	.	PUNCT	2	punct