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:
"Esta Cámara - - añadió su compañero J. C. Watts - - no debe dar el visto bueno a científicos locos que quieren jugar con el don de la vida".
Postion	Tokenization
1	"
2	Esta
3	Cámara
4	-
5	-
6	añadió
7	su
8	compañero
9	J.
10	C.
11	Watts
12	-
13	-
14	no
15	debe
16	dar
17	el
18	visto
19	bueno
20	a
21	científicos
22	locos
23	que
24	quieren
25	jugar
26	con
27	el
28	don
29	de
30	la
31	vida
32	"
33	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	16	punct
2	Esta	DET	3	det
3	Cámara	PROPN	16	nsubj
4	-	PUNCT	6	punct
5	-	PUNCT	6	punct
6	añadió	VERB	16	parataxis
7	su	DET	8	det
8	compañero	NOUN	6	nsubj
9	J.	PROPN	8	appos
10	C.	PROPN	9	flat
11	Watts	PROPN	9	flat
12	-	PUNCT	6	punct
13	-	PUNCT	6	punct
14	no	ADV	16	advmod
15	debe	AUX	16	aux
16	dar	VERB	0	root
17	el	DET	18	det
18	visto	NOUN	16	obj
19	bueno	NOUN	18	compound
20	a	ADP	21	case
21	científicos	NOUN	16	obj
22	locos	ADJ	21	amod
23	que	PRON	24	nsubj
24	quieren	VERB	21	acl
25	jugar	VERB	24	xcomp
26	con	ADP	28	case
27	el	DET	28	det
28	don	NOUN	25	obl
29	de	ADP	31	case
30	la	DET	31	det
31	vida	NOUN	28	nmod
32	"	PUNCT	16	punct
33	.	PUNCT	16	punct