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:
Lerroux ya viejo y valetudinario pasó un día en la calle frente a un espejo, se detuvo e irguiéndose a medias sobre el bastón dijo: - - ¡Quién te ha visto y quién te ve, Alejandro!
Postion	Tokenization
1	Lerroux
2	ya
3	viejo
4	y
5	valetudinario
6	pasó
7	un
8	día
9	en
10	la
11	calle
12	frente
13	a
14	un
15	espejo
16	,
17	se
18	detuvo
19	e
20	irguiéndose
21	irguiendo
22	se
23	a
24	medias
25	sobre
26	el
27	bastón
28	dijo
29	:
30	-
31	-
32	¡
33	Quién
34	te
35	ha
36	visto
37	y
38	quién
39	te
40	ve
41	,
42	Alejandro
43	!
Position	Tokenization	UPOS	Head	Deprel
1	Lerroux	PROPN	6	nsubj
2	ya	ADV	3	advmod
3	viejo	ADJ	1	amod
4	y	CCONJ	5	cc
5	valetudinario	ADJ	3	conj
6	pasó	VERB	0	root
7	un	DET	8	det
8	día	NOUN	6	obj
9	en	ADP	11	case
10	la	DET	11	det
11	calle	NOUN	6	obl
12	frente	NOUN	15	case
13	a	ADP	12	fixed
14	un	DET	15	det
15	espejo	NOUN	6	obl
16	,	PUNCT	18	punct
17	se	PRON	18	expl:pv
18	detuvo	VERB	6	advcl
19	e	CCONJ	27	cc
20	irguiéndose	_	None	_
21	irguiendo	VERB	27	advcl
22	se	PRON	20	expl:pv
23	a	ADP	20	advmod
24	medias	NOUN	22	fixed
25	sobre	ADP	26	case
26	el	DET	26	det
27	bastón	NOUN	20	obl
28	dijo	VERB	6	conj
29	:	PUNCT	35	punct
30	-	PUNCT	35	punct
31	-	PUNCT	35	punct
32	¡	PUNCT	35	punct
33	Quién	PRON	35	nsubj
34	te	PRON	35	obj
35	ha	AUX	35	aux
36	visto	VERB	27	ccomp
37	y	CCONJ	39	cc
38	quién	PRON	39	nsubj
39	te	PRON	39	obj
40	ve	VERB	35	conj
41	,	PUNCT	41	punct
42	Alejandro	PROPN	39	dep
43	!	PUNCT	6	punct