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:
En el escrito se precisa que los médicos tomaron la decisión de asilarse "luego de culminar sus tareas humanitarias con motivo de la reciente tragedia".
Postion	Tokenization
1	En
2	el
3	escrito
4	se
5	precisa
6	que
7	los
8	médicos
9	tomaron
10	la
11	decisión
12	de
13	asilarse
14	asilar
15	se
16	"
17	luego
18	de
19	culminar
20	sus
21	tareas
22	humanitarias
23	con
24	motivo
25	de
26	la
27	reciente
28	tragedia
29	"
30	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	el	DET	3	det
3	escrito	NOUN	5	obl
4	se	PRON	5	expl:pass
5	precisa	VERB	0	root
6	que	SCONJ	9	mark
7	los	DET	8	det
8	médicos	NOUN	9	nsubj
9	tomaron	VERB	5	csubj
10	la	DET	11	det
11	decisión	NOUN	9	obj
12	de	ADP	13	mark
13	asilarse	_	None	_
14	asilar	VERB	11	acl
15	se	PRON	13	expl:pv
16	"	PUNCT	16	punct
17	luego	ADV	9	advmod
18	de	ADP	18	mark
19	culminar	VERB	16	advcl
20	sus	DET	20	det
21	tareas	NOUN	18	obj
22	humanitarias	ADJ	20	amod
23	con	ADP	27	case
24	motivo	NOUN	22	fixed
25	de	ADP	22	fixed
26	la	DET	27	det
27	reciente	ADJ	27	amod
28	tragedia	NOUN	18	obl
29	"	PUNCT	16	punct
30	.	PUNCT	5	punct