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:
Tras el pago de tres millones de pesetas, los niños eran inscritos en el registro como hijos biológicos del padre adoptante, que se hacía con la custodia.
Postion	Tokenization
1	Tras
2	el
3	pago
4	de
5	tres
6	millones
7	de
8	pesetas
9	,
10	los
11	niños
12	eran
13	inscritos
14	en
15	el
16	registro
17	como
18	hijos
19	biológicos
20	del
21	padre
22	adoptante
23	,
24	que
25	se
26	hacía
27	con
28	la
29	custodia
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Tras	ADP	3	case
2	el	DET	3	det
3	pago	NOUN	13	obl
4	de	ADP	6	case
5	tres	NUM	6	nummod
6	millones	NOUN	3	nmod
7	de	ADP	8	case
8	pesetas	NOUN	6	nmod
9	,	PUNCT	3	punct
10	los	DET	11	det
11	niños	NOUN	13	nsubj
12	eran	AUX	13	aux
13	inscritos	VERB	0	root
14	en	ADP	16	case
15	el	DET	16	det
16	registro	NOUN	13	obl
17	como	SCONJ	18	mark
18	hijos	NOUN	13	obj
19	biológicos	ADJ	18	amod
20	del	ADP	21	case
21	padre	NOUN	18	nmod
22	adoptante	ADJ	21	amod
23	,	PUNCT	26	punct
24	que	PRON	26	nsubj
25	se	PRON	26	expl:pv
26	hacía	VERB	21	acl
27	con	ADP	29	case
28	la	DET	29	det
29	custodia	NOUN	26	obj
30	.	PUNCT	13	punct