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:
En la clasificación femenina, la estadounidense Lindsay Davenport se mantiene primera, mientras Arantxa Sánchez es quinta y Conchita Martínez desciende hasta el puesto 16º.
Postion	Tokenization
1	En
2	la
3	clasificación
4	femenina
5	,
6	la
7	estadounidense
8	Lindsay
9	Davenport
10	se
11	mantiene
12	primera
13	,
14	mientras
15	Arantxa
16	Sánchez
17	es
18	quinta
19	y
20	Conchita
21	Martínez
22	desciende
23	hasta
24	el
25	puesto
26	16º
27	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	la	DET	3	det
3	clasificación	NOUN	11	obl
4	femenina	ADJ	3	amod
5	,	PUNCT	3	punct
6	la	DET	7	det
7	estadounidense	NOUN	11	nsubj
8	Lindsay	PROPN	7	appos
9	Davenport	PROPN	8	flat
10	se	PRON	11	obj
11	mantiene	VERB	0	root
12	primera	ADJ	11	obj
13	,	PUNCT	18	punct
14	mientras	SCONJ	18	mark
15	Arantxa	PROPN	18	nsubj
16	Sánchez	PROPN	15	flat
17	es	AUX	18	cop
18	quinta	ADJ	11	advcl
19	y	CCONJ	22	cc
20	Conchita	PROPN	22	nsubj
21	Martínez	PROPN	20	flat
22	desciende	VERB	18	conj
23	hasta	ADP	25	case
24	el	DET	25	det
25	puesto	NOUN	22	obl
26	16º	NUM	25	nummod
27	.	PUNCT	11	punct