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:
Ahora, sin tocar una coma, asume la dirección Carlo Battistoni: "Si cambia algo es por culpa nuestra", explicó, humilde, el asistente de dirección durante décadas de Strehler, fallecido hace dos años.
Postion	Tokenization
1	Ahora
2	,
3	sin
4	tocar
5	una
6	coma
7	,
8	asume
9	la
10	dirección
11	Carlo
12	Battistoni
13	:
14	"
15	Si
16	cambia
17	algo
18	es
19	por
20	culpa
21	nuestra
22	"
23	,
24	explicó
25	,
26	humilde
27	,
28	el
29	asistente
30	de
31	dirección
32	durante
33	décadas
34	de
35	Strehler
36	,
37	fallecido
38	hace
39	dos
40	años
41	.
Position	Tokenization	UPOS	Head	Deprel
1	Ahora	ADV	8	advmod
2	,	PUNCT	4	punct
3	sin	ADP	4	mark
4	tocar	VERB	8	advcl
5	una	DET	6	det
6	coma	NOUN	4	obj
7	,	PUNCT	4	punct
8	asume	VERB	0	root
9	la	DET	10	det
10	dirección	NOUN	8	obj
11	Carlo	PROPN	8	nsubj
12	Battistoni	PROPN	11	flat
13	:	PUNCT	24	punct
14	"	PUNCT	20	punct
15	Si	SCONJ	16	mark
16	cambia	VERB	20	advcl
17	algo	PRON	16	nsubj
18	es	AUX	20	cop
19	por	ADP	20	case
20	culpa	NOUN	24	ccomp
21	nuestra	DET	20	det
22	"	PUNCT	20	punct
23	,	PUNCT	20	punct
24	explicó	VERB	8	advcl
25	,	PUNCT	26	punct
26	humilde	ADJ	24	iobj
27	,	PUNCT	26	punct
28	el	DET	29	det
29	asistente	NOUN	24	nsubj
30	de	ADP	31	case
31	dirección	NOUN	29	nmod
32	durante	ADP	33	case
33	décadas	NOUN	29	nmod
34	de	ADP	35	case
35	Strehler	PROPN	29	nmod
36	,	PUNCT	37	punct
37	fallecido	ADJ	35	amod
38	hace	VERB	37	advcl
39	dos	NUM	40	nummod
40	años	NOUN	38	obj
41	.	PUNCT	8	punct