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:
- Lo único que ocurre es que una cámara atrae otras cámaras: la de Spielberg arrastra a las de la televisión, y éstas a las de los curiosos -, comenta uno de los vigilantes del campo de concentración - museo de Auschwitz.
Postion	Tokenization
1	-
2	Lo
3	único
4	que
5	ocurre
6	es
7	que
8	una
9	cámara
10	atrae
11	otras
12	cámaras
13	:
14	la
15	de
16	Spielberg
17	arrastra
18	a
19	las
20	de
21	la
22	televisión
23	,
24	y
25	éstas
26	a
27	las
28	de
29	los
30	curiosos
31	-
32	,
33	comenta
34	uno
35	de
36	los
37	vigilantes
38	del
39	campo
40	de
41	concentración
42	-
43	museo
44	de
45	Auschwitz
46	.
Position	Tokenization	UPOS	Head	Deprel
1	-	PUNCT	6	punct
2	Lo	PRON	5	det
3	único	ADJ	5	amod
4	que	PRON	5	nsubj
5	ocurre	VERB	6	csubj
6	es	AUX	33	ccomp
7	que	SCONJ	10	mark
8	una	DET	9	det
9	cámara	NOUN	10	nsubj
10	atrae	VERB	6	ccomp
11	otras	DET	12	det
12	cámaras	NOUN	10	obj
13	:	PUNCT	17	punct
14	la	DET	17	det
15	de	ADP	14	case
16	Spielberg	PROPN	14	nsubj
17	arrastra	VERB	6	advcl
18	a	ADP	19	case
19	las	DET	17	det
20	de	ADP	19	case
21	la	DET	22	det
22	televisión	NOUN	19	obj
23	,	PUNCT	25	punct
24	y	CCONJ	25	cc
25	éstas	PRON	17	conj
26	a	ADP	27	case
27	las	DET	25	det
28	de	ADP	27	case
29	los	DET	30	det
30	curiosos	NOUN	27	nmod
31	-	PUNCT	6	punct
32	,	PUNCT	6	punct
33	comenta	VERB	0	root
34	uno	PRON	33	nsubj
35	de	ADP	37	case
36	los	DET	37	det
37	vigilantes	NOUN	34	nmod
38	del	ADP	39	case
39	campo	NOUN	37	nmod
40	de	ADP	41	case
41	concentración	NOUN	39	nmod
42	-	PUNCT	43	punct
43	museo	NOUN	39	appos
44	de	ADP	45	case
45	Auschwitz	PROPN	43	nmod
46	.	PUNCT	33	punct