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:
El conductor de Les 1.000 i una señaló que la intervención se hizo con la seguridad de que no ofendería a nadie y "con toda la asepsia del mundo".
Postion	Tokenization
1	El
2	conductor
3	de
4	Les
5	1.000
6	i
7	una
8	señaló
9	que
10	la
11	intervención
12	se
13	hizo
14	con
15	la
16	seguridad
17	de
18	que
19	no
20	ofendería
21	a
22	nadie
23	y
24	"
25	con
26	toda
27	la
28	asepsia
29	del
30	mundo
31	"
32	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	conductor	NOUN	8	nsubj
3	de	ADP	5	case
4	Les	PRON	5	det
5	1.000	NUM	2	nmod
6	i	CCONJ	7	cc
7	una	DET	5	conj
8	señaló	VERB	0	root
9	que	SCONJ	13	mark
10	la	DET	11	det
11	intervención	NOUN	13	nsubj
12	se	PRON	13	expl:pass
13	hizo	VERB	8	ccomp
14	con	ADP	16	case
15	la	DET	16	det
16	seguridad	NOUN	13	obl
17	de	ADP	20	mark
18	que	SCONJ	20	mark
19	no	ADV	20	advmod
20	ofendería	VERB	16	acl
21	a	ADP	22	case
22	nadie	PRON	20	obj
23	y	CCONJ	28	cc
24	"	PUNCT	28	punct
25	con	ADP	28	case
26	toda	DET	27	det
27	la	DET	28	det
28	asepsia	NOUN	16	conj
29	del	ADP	30	case
30	mundo	NOUN	28	nmod
31	"	PUNCT	28	punct
32	.	PUNCT	8	punct