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 nacimiento de su hija, tuvo que someterse a una operación que le impidió ser madre de nuevo, por lo que ha adoptado un niño, Noé.
Postion	Tokenization
1	Tras
2	el
3	nacimiento
4	de
5	su
6	hija
7	,
8	tuvo
9	que
10	someterse
11	someter
12	se
13	a
14	una
15	operación
16	que
17	le
18	impidió
19	ser
20	madre
21	de
22	nuevo
23	,
24	por
25	lo
26	que
27	ha
28	adoptado
29	un
30	niño
31	,
32	Noé
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Tras	ADP	3	case
2	el	DET	3	det
3	nacimiento	NOUN	10	obl
4	de	ADP	6	case
5	su	DET	6	det
6	hija	NOUN	3	nmod
7	,	PUNCT	3	punct
8	tuvo	VERB	0	root
9	que	SCONJ	10	cc
10	someterse	_	None	_
11	someter	VERB	8	conj
12	se	PRON	10	obj
13	a	ADP	14	case
14	una	DET	14	det
15	operación	NOUN	10	obj
16	que	PRON	17	nsubj
17	le	PRON	17	iobj
18	impidió	VERB	14	acl
19	ser	AUX	19	cop
20	madre	NOUN	17	xcomp
21	de	ADP	19	advmod
22	nuevo	ADJ	20	fixed
23	,	PUNCT	27	punct
24	por	ADP	25	case
25	lo	PRON	25	det
26	que	PRON	27	obl
27	ha	AUX	27	aux
28	adoptado	VERB	17	advcl
29	un	DET	29	det
30	niño	NOUN	27	obj
31	,	PUNCT	31	punct
32	Noé	PROPN	29	appos
33	.	PUNCT	8	punct