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:
Conocedora del engranaje de la miseria, vivió la huella de Clinton, que ha mejorado los servicios inmediatos pero ha dificultado lograr viviendas de alquiler y soluciones a medio plazo.
Postion	Tokenization
1	Conocedora
2	del
3	engranaje
4	de
5	la
6	miseria
7	,
8	vivió
9	la
10	huella
11	de
12	Clinton
13	,
14	que
15	ha
16	mejorado
17	los
18	servicios
19	inmediatos
20	pero
21	ha
22	dificultado
23	lograr
24	viviendas
25	de
26	alquiler
27	y
28	soluciones
29	a
30	medio
31	plazo
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Conocedora	ADJ	8	amod
2	del	ADP	3	case
3	engranaje	NOUN	1	nmod
4	de	ADP	6	case
5	la	DET	6	det
6	miseria	NOUN	3	nmod
7	,	PUNCT	1	punct
8	vivió	VERB	0	root
9	la	DET	10	det
10	huella	NOUN	8	obj
11	de	ADP	12	case
12	Clinton	PROPN	10	nmod
13	,	PUNCT	16	punct
14	que	PRON	16	nsubj
15	ha	AUX	16	aux
16	mejorado	VERB	12	acl
17	los	DET	18	det
18	servicios	NOUN	16	obj
19	inmediatos	ADJ	18	amod
20	pero	CCONJ	22	cc
21	ha	AUX	22	aux
22	dificultado	VERB	16	conj
23	lograr	VERB	22	xcomp
24	viviendas	NOUN	23	obj
25	de	ADP	26	case
26	alquiler	NOUN	24	nmod
27	y	CCONJ	28	cc
28	soluciones	NOUN	24	conj
29	a	ADP	28	advmod
30	medio	NOUN	29	fixed
31	plazo	NOUN	29	fixed
32	.	PUNCT	8	punct