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:
Los padres adoptivos habían pagado el viaje de la joven, costeado el parto, que requirió cesárea en una clínica bilbaína, y entregado 400.000 pesetas en metálico.
Postion	Tokenization
1	Los
2	padres
3	adoptivos
4	habían
5	pagado
6	el
7	viaje
8	de
9	la
10	joven
11	,
12	costeado
13	el
14	parto
15	,
16	que
17	requirió
18	cesárea
19	en
20	una
21	clínica
22	bilbaína
23	,
24	y
25	entregado
26	400.000
27	pesetas
28	en
29	metálico
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	padres	NOUN	5	nsubj
3	adoptivos	ADJ	2	amod
4	habían	AUX	5	aux
5	pagado	VERB	0	root
6	el	DET	7	det
7	viaje	NOUN	5	obj
8	de	ADP	10	case
9	la	DET	10	det
10	joven	NOUN	7	nmod
11	,	PUNCT	12	punct
12	costeado	VERB	5	conj
13	el	DET	14	det
14	parto	NOUN	12	obl
15	,	PUNCT	17	punct
16	que	PRON	17	nsubj
17	requirió	VERB	14	acl
18	cesárea	NOUN	17	obj
19	en	ADP	21	case
20	una	DET	21	det
21	clínica	NOUN	17	obl
22	bilbaína	ADJ	21	amod
23	,	PUNCT	25	punct
24	y	CCONJ	25	cc
25	entregado	VERB	5	conj
26	400.000	NUM	27	nummod
27	pesetas	NOUN	25	obj
28	en	ADP	29	case
29	metálico	ADJ	27	nmod
30	.	PUNCT	5	punct