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:
Hay un segmento de la población que lo quiere como primer ministro de la provincia, por su condición de buen administrador, pero que en los referendos sobre la secesión no le respalda.
Postion	Tokenization
1	Hay
2	un
3	segmento
4	de
5	la
6	población
7	que
8	lo
9	quiere
10	como
11	primer
12	ministro
13	de
14	la
15	provincia
16	,
17	por
18	su
19	condición
20	de
21	buen
22	administrador
23	,
24	pero
25	que
26	en
27	los
28	referendos
29	sobre
30	la
31	secesión
32	no
33	le
34	respalda
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Hay	AUX	0	root
2	un	DET	3	det
3	segmento	NOUN	1	obj
4	de	ADP	6	case
5	la	DET	6	det
6	población	NOUN	3	nmod
7	que	PRON	9	nsubj
8	lo	PRON	9	obj
9	quiere	VERB	3	acl
10	como	SCONJ	12	mark
11	primer	ADJ	12	amod
12	ministro	NOUN	9	iobj
13	de	ADP	15	case
14	la	DET	15	det
15	provincia	NOUN	12	nmod
16	,	PUNCT	19	punct
17	por	ADP	19	case
18	su	DET	19	det
19	condición	NOUN	9	obl
20	de	ADP	22	case
21	buen	ADJ	22	amod
22	administrador	NOUN	19	nmod
23	,	PUNCT	19	punct
24	pero	CCONJ	34	cc
25	que	PRON	34	nsubj
26	en	ADP	28	case
27	los	DET	28	det
28	referendos	NOUN	34	obl
29	sobre	ADP	31	case
30	la	DET	31	det
31	secesión	NOUN	28	nmod
32	no	ADV	34	advmod
33	le	PRON	34	obj
34	respalda	VERB	9	conj
35	.	PUNCT	1	punct