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:
La madre, de 34 años, se encontraba en situación de muerte cerebral (encefalograma plano) por hemorragia masiva y cuadro de síndrome séptico desde el pasado 13 de noviembre.
Postion	Tokenization
1	La
2	madre
3	,
4	de
5	34
6	años
7	,
8	se
9	encontraba
10	en
11	situación
12	de
13	muerte
14	cerebral
15	(
16	encefalograma
17	plano
18	)
19	por
20	hemorragia
21	masiva
22	y
23	cuadro
24	de
25	síndrome
26	séptico
27	desde
28	el
29	pasado
30	13
31	de
32	noviembre
33	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	madre	NOUN	9	nsubj
3	,	PUNCT	6	punct
4	de	ADP	6	case
5	34	NUM	6	nummod
6	años	NOUN	2	nmod
7	,	PUNCT	6	punct
8	se	PRON	9	expl:pv
9	encontraba	VERB	0	root
10	en	ADP	11	case
11	situación	NOUN	9	obl
12	de	ADP	13	case
13	muerte	NOUN	11	nmod
14	cerebral	ADJ	13	amod
15	(	PUNCT	16	punct
16	encefalograma	NOUN	13	appos
17	plano	ADJ	16	amod
18	)	PUNCT	16	punct
19	por	ADP	20	case
20	hemorragia	NOUN	13	nmod
21	masiva	ADJ	20	amod
22	y	CCONJ	23	cc
23	cuadro	NOUN	13	conj
24	de	ADP	25	case
25	síndrome	NOUN	23	nmod
26	séptico	ADJ	25	amod
27	desde	ADP	30	case
28	el	DET	30	det
29	pasado	ADJ	30	amod
30	13	NUM	9	obl
31	de	ADP	32	case
32	noviembre	NOUN	30	compound
33	.	PUNCT	9	punct