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:
Construyó un marco de dignidad en el que reconocerse: luchó por otorgar una dimensión humana a unas vidas embrutecidas por la miseria.
Postion	Tokenization
1	Construyó
2	un
3	marco
4	de
5	dignidad
6	en
7	el
8	que
9	reconocerse
10	reconocer
11	se
12	:
13	luchó
14	por
15	otorgar
16	una
17	dimensión
18	humana
19	a
20	unas
21	vidas
22	embrutecidas
23	por
24	la
25	miseria
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Construyó	VERB	0	root
2	un	DET	3	det
3	marco	NOUN	1	obj
4	de	ADP	5	case
5	dignidad	NOUN	3	nmod
6	en	ADP	8	case
7	el	DET	8	det
8	que	PRON	9	obl
9	reconocerse	_	None	_
10	reconocer	VERB	3	acl
11	se	PRON	9	obj
12	:	PUNCT	12	punct
13	luchó	VERB	1	advcl
14	por	ADP	14	mark
15	otorgar	VERB	12	advcl
16	una	DET	16	det
17	dimensión	NOUN	14	obj
18	humana	ADJ	16	amod
19	a	ADP	20	case
20	unas	DET	20	det
21	vidas	NOUN	14	obj
22	embrutecidas	ADJ	20	amod
23	por	ADP	24	case
24	la	DET	24	det
25	miseria	NOUN	21	obl
26	.	PUNCT	1	punct