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:
Había diez varillas de control hechas de láminas de cadmio es conocido el enorme apetito del cadmio por los neutrones y clavadas a largas tiras de madera.
Postion	Tokenization
1	Había
2	diez
3	varillas
4	de
5	control
6	hechas
7	de
8	láminas
9	de
10	cadmio
11	es
12	conocido
13	el
14	enorme
15	apetito
16	del
17	cadmio
18	por
19	los
20	neutrones
21	y
22	clavadas
23	a
24	largas
25	tiras
26	de
27	madera
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Había	AUX	0	root
2	diez	NUM	3	nummod
3	varillas	NOUN	1	obj
4	de	ADP	5	case
5	control	NOUN	3	nmod
6	hechas	ADJ	3	amod
7	de	ADP	8	case
8	láminas	NOUN	6	obl
9	de	ADP	10	case
10	cadmio	NOUN	8	nmod
11	es	AUX	12	cop
12	conocido	ADJ	6	parataxis
13	el	DET	15	det
14	enorme	ADJ	15	amod
15	apetito	NOUN	12	nsubj
16	del	ADP	17	case
17	cadmio	NOUN	15	nmod
18	por	ADP	20	case
19	los	DET	20	det
20	neutrones	NOUN	15	nmod
21	y	CCONJ	22	cc
22	clavadas	ADJ	6	conj
23	a	ADP	25	case
24	largas	ADJ	25	amod
25	tiras	NOUN	22	obl
26	de	ADP	27	case
27	madera	NOUN	25	nmod
28	.	PUNCT	1	punct