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:
"No tenemos ningún gran ambulatorio, por lo que debes desplazarte a distintas consultas cada vez", explica la mujer.
Postion	Tokenization
1	"
2	No
3	tenemos
4	ningún
5	gran
6	ambulatorio
7	,
8	por
9	lo
10	que
11	debes
12	desplazarte
13	desplazar
14	te
15	a
16	distintas
17	consultas
18	cada
19	vez
20	"
21	,
22	explica
23	la
24	mujer
25	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	3	punct
2	No	ADV	3	advmod
3	tenemos	VERB	21	ccomp
4	ningún	DET	6	det
5	gran	ADJ	6	amod
6	ambulatorio	NOUN	3	obj
7	,	PUNCT	12	punct
8	por	ADP	12	mark
9	lo	PRON	12	det
10	que	PRON	12	obl
11	debes	AUX	12	aux
12	desplazarte	_	None	_
13	desplazar	VERB	3	advcl
14	te	PRON	12	expl:pv
15	a	ADP	16	case
16	distintas	DET	16	det
17	consultas	NOUN	12	obl
18	cada	DET	18	det
19	vez	NOUN	12	obl
20	"	PUNCT	3	punct
21	,	PUNCT	3	punct
22	explica	VERB	0	root
23	la	DET	23	det
24	mujer	NOUN	21	nsubj
25	.	PUNCT	21	punct