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 viuda admitió que su marido se preocupó cuando se enteró de la desaparición de los jóvenes y adoptó medidas de seguridad después de observar "movimientos extraños" en torno a su domicilio.
Postion	Tokenization
1	La
2	viuda
3	admitió
4	que
5	su
6	marido
7	se
8	preocupó
9	cuando
10	se
11	enteró
12	de
13	la
14	desaparición
15	de
16	los
17	jóvenes
18	y
19	adoptó
20	medidas
21	de
22	seguridad
23	después
24	de
25	observar
26	"
27	movimientos
28	extraños
29	"
30	en
31	torno
32	a
33	su
34	domicilio
35	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	viuda	NOUN	3	nsubj
3	admitió	VERB	0	root
4	que	SCONJ	8	mark
5	su	DET	6	det
6	marido	NOUN	8	nsubj
7	se	PRON	8	expl:pv
8	preocupó	VERB	3	ccomp
9	cuando	SCONJ	11	mark
10	se	PRON	11	expl:pv
11	enteró	VERB	8	advcl
12	de	ADP	14	case
13	la	DET	14	det
14	desaparición	NOUN	11	obj
15	de	ADP	17	case
16	los	DET	17	det
17	jóvenes	NOUN	14	nmod
18	y	CCONJ	19	cc
19	adoptó	VERB	8	conj
20	medidas	NOUN	19	obj
21	de	ADP	22	case
22	seguridad	NOUN	20	nmod
23	después	ADV	19	advmod
24	de	ADP	25	mark
25	observar	VERB	23	advcl
26	"	PUNCT	27	punct
27	movimientos	NOUN	25	obj
28	extraños	ADJ	27	amod
29	"	PUNCT	27	punct
30	en	ADP	34	case
31	torno	NOUN	30	fixed
32	a	ADP	30	fixed
33	su	DET	34	det
34	domicilio	NOUN	25	obl
35	.	PUNCT	3	punct