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 bomberos rescataron de esa vivienda a María del Carmen Costa, que salvó milagrosamente la vida gracias a un sofá.
Postion	Tokenization
1	Los
2	bomberos
3	rescataron
4	de
5	esa
6	vivienda
7	a
8	María
9	del
10	Carmen
11	Costa
12	,
13	que
14	salvó
15	milagrosamente
16	la
17	vida
18	gracias
19	a
20	un
21	sofá
22	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	bomberos	NOUN	3	nsubj
3	rescataron	VERB	0	root
4	de	ADP	6	case
5	esa	DET	6	det
6	vivienda	NOUN	3	obl
7	a	ADP	8	case
8	María	PROPN	3	obj
9	del	ADP	10	case
10	Carmen	PROPN	8	flat
11	Costa	PROPN	10	flat
12	,	PUNCT	14	punct
13	que	PRON	14	nsubj
14	salvó	VERB	8	acl
15	milagrosamente	ADV	14	advmod
16	la	DET	17	det
17	vida	NOUN	14	obj
18	gracias	NOUN	21	case
19	a	ADP	18	fixed
20	un	DET	21	det
21	sofá	NOUN	14	obl
22	.	PUNCT	3	punct