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:
"Por fin alguien con sensibilidad se ha preocupado de que el monumento a Seguí quede como él se merece", dice.
Postion	Tokenization
1	"
2	Por
3	fin
4	alguien
5	con
6	sensibilidad
7	se
8	ha
9	preocupado
10	de
11	que
12	el
13	monumento
14	a
15	Seguí
16	quede
17	como
18	él
19	se
20	merece
21	"
22	,
23	dice
24	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	9	punct
2	Por	ADP	9	advmod
3	fin	NOUN	2	fixed
4	alguien	PRON	9	nsubj
5	con	ADP	6	case
6	sensibilidad	NOUN	4	nmod
7	se	PRON	9	expl:pv
8	ha	AUX	9	aux
9	preocupado	VERB	23	ccomp
10	de	ADP	16	mark
11	que	SCONJ	16	mark
12	el	DET	13	det
13	monumento	NOUN	16	nsubj
14	a	ADP	15	case
15	Seguí	PROPN	13	nmod
16	quede	VERB	9	advcl
17	como	SCONJ	20	mark
18	él	PRON	20	nsubj
19	se	PRON	20	expl:pv
20	merece	VERB	16	ccomp
21	"	PUNCT	9	punct
22	,	PUNCT	9	punct
23	dice	VERB	0	root
24	.	PUNCT	23	punct