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 vez extraído el feto del abdomen de la madre a través de la intervención quirúrgica, Milagros Lorenzo fue trasladada de nuevo a la UCI, donde falleció poco después de serle desconectado el respirador artificial.
Postion	Tokenization
1	Una
2	vez
3	extraído
4	el
5	feto
6	del
7	abdomen
8	de
9	la
10	madre
11	a
12	través
13	de
14	la
15	intervención
16	quirúrgica
17	,
18	Milagros
19	Lorenzo
20	fue
21	trasladada
22	de
23	nuevo
24	a
25	la
26	UCI
27	,
28	donde
29	falleció
30	poco
31	después
32	de
33	serle
34	ser
35	le
36	desconectado
37	el
38	respirador
39	artificial
40	.
Position	Tokenization	UPOS	Head	Deprel
1	Una	DET	2	det
2	vez	NOUN	3	obl
3	extraído	VERB	21	advcl
4	el	DET	5	det
5	feto	NOUN	3	nsubj
6	del	ADP	7	case
7	abdomen	NOUN	3	obl
8	de	ADP	10	case
9	la	DET	10	det
10	madre	NOUN	7	nmod
11	a	ADP	15	case
12	través	NOUN	11	fixed
13	de	ADP	11	fixed
14	la	DET	15	det
15	intervención	NOUN	3	obl
16	quirúrgica	ADJ	15	amod
17	,	PUNCT	3	punct
18	Milagros	PROPN	21	nsubj
19	Lorenzo	PROPN	18	flat
20	fue	AUX	21	aux
21	trasladada	VERB	0	root
22	de	ADP	21	advmod
23	nuevo	ADJ	22	fixed
24	a	ADP	26	case
25	la	DET	26	det
26	UCI	PROPN	21	obl
27	,	PUNCT	29	punct
28	donde	PRON	29	obl
29	falleció	VERB	26	acl
30	poco	ADV	31	advmod
31	después	ADV	29	advmod
32	de	ADP	35	mark
33	serle	_	None	_
34	ser	AUX	35	aux
35	le	PRON	35	obj
36	desconectado	VERB	31	advcl
37	el	DET	37	det
38	respirador	NOUN	35	nsubj
39	artificial	ADJ	37	amod
40	.	PUNCT	21	punct