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:
Como hacía ayer la misma Lazzarini, que iba sacando anécdotas de los 40 años trabajando junto a Strehler: "Conocerlo fue una suerte, pero trabajar con él ha sido la razón de mi vida", explicó emocionada.
Postion	Tokenization
1	Como
2	hacía
3	ayer
4	la
5	misma
6	Lazzarini
7	,
8	que
9	iba
10	sacando
11	anécdotas
12	de
13	los
14	40
15	años
16	trabajando
17	junto
18	a
19	Strehler
20	:
21	"
22	Conocerlo
23	Conocer
24	lo
25	fue
26	una
27	suerte
28	,
29	pero
30	trabajar
31	con
32	él
33	ha
34	sido
35	la
36	razón
37	de
38	mi
39	vida
40	"
41	,
42	explicó
43	emocionada
44	.
Position	Tokenization	UPOS	Head	Deprel
1	Como	SCONJ	2	mark
2	hacía	VERB	0	root
3	ayer	ADV	2	advmod
4	la	DET	6	det
5	misma	DET	4	det
6	Lazzarini	PROPN	2	nsubj
7	,	PUNCT	10	punct
8	que	PRON	10	nsubj
9	iba	AUX	10	aux
10	sacando	VERB	6	acl
11	anécdotas	NOUN	10	obj
12	de	ADP	15	case
13	los	DET	14	det
14	40	NUM	15	nummod
15	años	NOUN	11	nmod
16	trabajando	VERB	15	acl
17	junto	ADJ	19	case
18	a	ADP	17	fixed
19	Strehler	PROPN	16	obl
20	:	PUNCT	41	punct
21	"	PUNCT	26	punct
22	Conocerlo	_	None	_
23	Conocer	VERB	26	csubj
24	lo	PRON	22	obj
25	fue	AUX	26	cop
26	una	DET	26	det
27	suerte	NOUN	41	ccomp
28	,	PUNCT	35	punct
29	pero	CCONJ	35	cc
30	trabajar	VERB	35	csubj
31	con	ADP	31	case
32	él	PRON	29	obl
33	ha	AUX	35	aux
34	sido	AUX	35	cop
35	la	DET	35	det
36	razón	NOUN	26	conj
37	de	ADP	38	case
38	mi	DET	38	det
39	vida	NOUN	35	nmod
40	"	PUNCT	26	punct
41	,	PUNCT	26	punct
42	explicó	VERB	2	advcl
43	emocionada	ADJ	41	iobj
44	.	PUNCT	2	punct