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:
Y Hierro - - que se siente poeta de segunda y que no entiende que se hayan vendido 11 ediciones de su Cuaderno de Nueva York - -, es una buena alternativa.
Postion	Tokenization
1	Y
2	Hierro
3	-
4	-
5	que
6	se
7	siente
8	poeta
9	de
10	segunda
11	y
12	que
13	no
14	entiende
15	que
16	se
17	hayan
18	vendido
19	11
20	ediciones
21	de
22	su
23	Cuaderno
24	de
25	Nueva
26	York
27	-
28	-
29	,
30	es
31	una
32	buena
33	alternativa
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Y	CCONJ	33	advmod
2	Hierro	PROPN	33	nsubj
3	-	PUNCT	7	punct
4	-	PUNCT	7	punct
5	que	PRON	7	nsubj
6	se	PRON	7	expl:pv
7	siente	VERB	2	acl
8	poeta	NOUN	7	obj
9	de	ADP	10	case
10	segunda	ADJ	8	amod
11	y	CCONJ	14	cc
12	que	PRON	14	nsubj
13	no	ADV	14	advmod
14	entiende	VERB	7	conj
15	que	SCONJ	18	mark
16	se	PRON	18	expl:pass
17	hayan	AUX	18	aux
18	vendido	VERB	14	ccomp
19	11	NUM	20	nummod
20	ediciones	NOUN	18	nsubj
21	de	ADP	23	case
22	su	DET	23	det
23	Cuaderno	PROPN	20	nmod
24	de	ADP	25	case
25	Nueva	PROPN	23	flat
26	York	PROPN	25	flat
27	-	PUNCT	7	punct
28	-	PUNCT	7	punct
29	,	PUNCT	2	punct
30	es	AUX	33	cop
31	una	DET	33	det
32	buena	ADJ	33	amod
33	alternativa	NOUN	0	root
34	.	PUNCT	33	punct