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 médicos del hospital público de Cabueñes (Gijón, Asturias) que atendían a Milagros Lorenzo Mesas, la mujer embarazada que estaba clínicamente muerta, lograron traer al mundo al bebé con una cesárea.
Postion	Tokenization
1	Los
2	médicos
3	del
4	hospital
5	público
6	de
7	Cabueñes
8	(
9	Gijón
10	,
11	Asturias
12	)
13	que
14	atendían
15	a
16	Milagros
17	Lorenzo
18	Mesas
19	,
20	la
21	mujer
22	embarazada
23	que
24	estaba
25	clínicamente
26	muerta
27	,
28	lograron
29	traer
30	al
31	mundo
32	al
33	bebé
34	con
35	una
36	cesárea
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	médicos	NOUN	28	nsubj
3	del	ADP	4	case
4	hospital	NOUN	2	nmod
5	público	ADJ	4	amod
6	de	ADP	7	case
7	Cabueñes	PROPN	4	nmod
8	(	PUNCT	9	punct
9	Gijón	PROPN	7	flat
10	,	PUNCT	11	punct
11	Asturias	PROPN	9	flat
12	)	PUNCT	9	punct
13	que	PRON	14	nsubj
14	atendían	VERB	2	acl
15	a	ADP	16	case
16	Milagros	PROPN	14	obj
17	Lorenzo	PROPN	16	flat
18	Mesas	PROPN	16	flat
19	,	PUNCT	21	punct
20	la	DET	21	det
21	mujer	NOUN	16	appos
22	embarazada	ADJ	21	amod
23	que	PRON	26	nsubj
24	estaba	AUX	26	cop
25	clínicamente	ADV	26	advmod
26	muerta	ADJ	21	acl
27	,	PUNCT	21	punct
28	lograron	VERB	0	root
29	traer	VERB	28	xcomp
30	al	ADP	31	case
31	mundo	NOUN	29	obl
32	al	ADP	33	case
33	bebé	NOUN	29	obj
34	con	ADP	36	case
35	una	DET	36	det
36	cesárea	NOUN	29	obl
37	.	PUNCT	28	punct